Stephen Kasabula is a seasoned Business Analyst with over 20 years of experience in financial services, specializing in portfolio systems and client reporting. His expertise includes driving process improvements and system implementations that significantly enhance data utilization and business operations.

As a part of the founding team at Visvero, Arvind’s responsibility is to  keep a close eye on the emerging technologies in data engineering, BI and analytics solutions, so that our clients may get ahead of the technology cycles. Arvind helped our clients in several industries e.g. retail, financial services, manufacturing etc. implement strategies for leveraging data as a critical element of the business strategy

James is a Senior Enterprise Solution Architect with over two decades of experience, specializing in enterprise-wide data solutions. His technical proficiency spans data management, analytics, and cloud architectures, driving significant enterprise data hub initiatives that enhance data accessibility and business insights.

Hemant Rao is a seasoned Business Analyst committed to enhancing operational efficiencies through data-driven insights and process improvements. His expertise includes advanced SQL querying and a deep understanding of database management, contributing to strategic decision-making in business environments.

Sushant Dhar is a skilled Boomi Developer with a strong background in enterprise application integration using Dell Boomi iPaaS. His expertise includes developing APIs, managing data migrations, and implementing complex data integration solutions that improve operational efficiencies and data handling.

Bharat is a senior technology leader with extensive expertise in implementing packaged software applications for large enterprises. Bharat’s expertise is in the area of multi-platform data management and organization change management essential to the success of any packaged application roll-out. Bharat has helped several Fortune 500 clients in manufacturing, financial services and information services align their business and data strategies.

Meenakshinathan, known as Nathan, is a Senior Business Intelligence Professional with 16 years of experience. His expertise encompasses the full lifecycle of Business Intelligence projects, utilizing Microsoft technologies to deliver enhanced decision-making tools and insights to global clients.

Karol is a seasoned Project Management Professional with 25+ years in IT and program management. He has led projects focused on IT integrations, cost reductions, and implementing PMOs, significantly enhancing project delivery and strategic implementations across various organizations.

Christopher Pavlekovsky is a seasoned Oracle HCM Cloud consultant with robust expertise in HRIS, data integrations, and analytics. He has led HR data transformation projects, implementing Oracle HCM Cloud solutions and integrating them with UKG Pro Payroll and Kronos. Christopher has managed global agile teams and delivered significant operational efficiencies, including a unified HRBP reporting dashboard for over 21,000 employees.

Durga Ravikumar Nagaraju is a seasoned Azure Data Engineer with over 17 years of IT experience, specializing in building data pipelines and big data analytics across various industries such as telecommunications, energy, and banking. Proficient in Python, Spark, and Azure, Durga excels in data transformation, visualization, and project delivery. With strong leadership and problem-solving skills, he effectively translates business requirements into technical solutions, ensuring seamless project execution and delivery.

Gene Tseiltin is a highly accomplished Azure Data Engineer and Enterprise Data Solution Architect with extensive experience in data modernization, data governance, and multi-platform integration. Gene has a proven track record of delivering scalable, high-performance solutions for Fortune 500 companies across financial, health, insurance, and manufacturing sectors. With expertise in Azure services, data architecture, and event-driven data strategies, Gene excels in aligning business data strategies with enterprise goals.

Karunakaran Muthusamy is an accomplished data architect with extensive experience in leading IT architecture roadmaps and data initiatives. Specializing in Azure, he drives infrastructure automation, data governance, and innovation. Karunakaran has successfully led projects across various industries including healthcare, sports, and manufacturing, leveraging multi-cloud platforms and big data technologies to deliver strategic data solutions.

Lorenz Johnson is a data engineer with a robust background in designing and maintaining scalable data pipelines using Microsoft Azure and AWS. With over a decade of experience, Lorenz excels in multi-platform data management and cloud-based ETL/ELT processes. He has led successful data integration projects and provided strategic oversight for data management, ensuring data accuracy and consistency, significantly enhancing client satisfaction and project delivery for leading enterprises.

Michael Goddard is a seasoned Data Architect with over 25 years of experience specializing in SQL Server, Azure Data Factory, and Snowflake. He excels in data warehousing, ETL processes, and business intelligence, with hands-on expertise in Power BI, SSRS, and SSIS. Michael has led significant data migration and optimization projects, enhancing data strategies for large enterprises. His strong project management skills ensure successful project lifecycle execution, from initiation to post-implementation review.

Praveen is an Azure Data Engineer with over 15 years of experience in all phases of the software development life cycle. Awarded “Microsoft Star Performer” in 2012, Praveen specializes in cloud technologies such as Azure and Snowflake, and has expertise in data warehousing, business intelligence, and ETL processes. Praveen has successfully transformed data strategies and developed enterprise solutions for diverse industries, including finance, insurance, and retail.

Sewkumar Mahadeo is a seasoned data architect with over 15 years of hands-on experience in data architecture, platform engineering, and multi-cloud solutions. Leading top 1% Big Four projects exceeding $1B in funding, Sewkumar excels in data management and governance. His expertise spans diverse technologies and methodologies, including AI/ML, data mesh, GDPR compliance, and large-scale data migrations, aiding Fortune 500 clients in achieving robust data strategies and technological advancements.

William Ulich is a Senior Data Engineer with over 15 years of experience in Infrastructure, Data, and Analytics Solution Architecture. Renowned for leading teams to deliver innovative data solutions, William excels in designing, planning, and executing multimillion-dollar projects. He has significantly contributed to various sectors including e-commerce, healthcare, and energy by enhancing cloud adoption, data governance, and advanced analytics.

Adlan Bellaoucha is a skilled data scientist with over 4 years of experience across various industries. Specializing in applied mathematics, statistics, and programming, Adlan excels in data analytics and business intelligence. Proficient in SQL Server, SSIS, Power BI, and Tableau, Adlan has a proven track record of delivering actionable insights and improving decision-making for stakeholders. Adlan has a strong background in ETL architecture, data visualization, and cross-functional collaboration.

Alan is a seasoned data engineer adept at crafting end-to-end data pipelines, utilizing Apache Spark, Kafka, and cloud platforms like Google Cloud and AWS. His expertise spans data optimization, governance, and MVC architecture implementation. Proficient in Python, he excels in software development and migration projects, fostering continuous innovation in data engineering practices. Alan’s collaborative approach ensures scalable, performance-driven solutions for diverse enterprises, enhancing data quality and accessibility.

Amulya Kolipaka is a Snowflake Consultant with over a decade of experience in data architecture, ETL processes, and data modeling. Amulya excels in optimizing data workflows, ensuring data quality, and implementing scalable data solutions on cloud platforms like Azure and AWS. With expertise in SQL, PL/SQL, and various big data technologies, Amulya has successfully led data projects for major enterprises, driving data strategies and delivering actionable insights through advanced data engineering and BI techniques.

Andrew Acosta is a data scientist and risk analyst specializing in finance, statistics, and operations research. He has led numerous projects in predictive analytics, credit risk modeling, and econometric analysis for top-tier financial institutions. With expertise in machine learning, big data, and numerical analysis, Andrew has optimized high-frequency trading, enhanced fraud detection systems, and conducted Bayesian time series analysis.

Anthony Bendinelli is a Data Scientist with nine years of experience in data science, predictive and statistical modeling, and software development. He excels in full-stack data science pipelines, ETL processes, and data visualization, with expertise in Python, SQL, and related libraries. Anthony has led data science teams and mentored professionals. His Ph.D. in Physics underpins his ability to apply complex models to large datasets.

Avdesh Chandara is a seasoned Data Architect with extensive experience in cloud technologies, data management, and project delivery. Skilled in AWS cloud architecture, he has successfully led data migrations, developed ETL pipelines, and ensured data security for Fortune 500 clients. Avdesh excels in using Python, SQL, and Spark for data warehousing and machine learning, demonstrating a strong ability to drive business growth through precise data strategies and automation.

Avinash Reddy is a highly skilled Snowflake Architect with over 14 years of experience in the IT industry. His expertise includes designing and implementing complex data warehousing solutions using Snowflake, optimizing performance, and ensuring data security and compliance. Avinash has successfully led projects for clients in banking, manufacturing, and retail, leveraging cloud-based ETL tools and data integration techniques to enhance business data strategies.

Balasubramanian Theivarayan is a seasoned IT professional with around 20 years of experience in the Banking and Financial domain, focusing on Snowflake Data Engineering and Architecture. Balasubramanian excels in designing and implementing data migration strategies for on-premises databases to Snowflake on cloud platforms. He has enhanced data quality, security, and efficiency for several projects, ensuring compliance and improving data reliability for business intelligence and analytics.

Bhanu is a seasoned HCM Consultant with 16 years' ERP and banking solutions experience. Proficient in Fusion HCM, he excels in workforce deployment, payroll, and absence management. Skilled in functional setup, data migration, and BI reporting, he ensures smooth Oracle Fusion HCM cloud implementations for clients worldwide.

Brian is a seasoned Power BI Developer with a wealth of experience in complex data analysis, reporting, and business intelligence. He excels in utilizing Microsoft Excel and Power BI to create meaningful reports and dashboards. With expertise in SQL and SSIS, Brian has led critical reporting projects for major corporate mergers. His career highlights include streamlining processes for data analysis and migration, and his extensive technical knowledge spans multiple industries, making him a valuable asset in any team.

Caleb is a seasoned Data Scientist adept in Python, R, and SQL. He led teams in diverse projects, from Python marketing models at Hyundai to ML pipeline design at Nativo. Caleb excels in machine learning, NLP, and Big Data ETL, backed by a Master's in Economic System Design.

Charles Aydin is an AI/ML engineer with a Ph.D. in Physics and extensive experience in data science, analytics, and machine learning. Charles excels in building data pipelines, machine learning models, and managing projects across diverse industries. His expertise spans programming languages, cloud platforms, big data, and visualization tools. He has contributed to significant AI/ML projects, resulting in patents and innovative solutions for top companies.

Chirasree Chatterjee is a data scientist with a Ph.D. in Mathematics and 5 years of experience in the field. She excels in analyzing and managing large, complex datasets to drive strategic business decisions. Chirasree's expertise spans statistical analysis, machine learning, deep learning, and NLP. She has successfully led projects in gaming, finance, and e-commerce, improving models and predictions, and mentoring junior analysts.

Christopher Radston is an AI/ML engineer with proven expertise in developing and optimizing neural networks for generative tasks such as image synthesis and text generation. His proficiency spans GANs, VAEs, and transformer-based architectures. He has a strong command of Python, TensorFlow, and PyTorch, enabling the creation of innovative AI-driven content. Christopher has successfully implemented AI solutions in bioinformatics and healthcare, contributing to significant advancements in these fields.

Clarke Bacharach is a data scientist with a strong focus on developing practical solutions across various industries. Clarke leverages expertise in machine learning, statistics, deep learning, and NLP to drive impactful projects. Clarke has enhanced operations at institutions like Los Alamos National Laboratory and Groundswell by optimizing data processes and generating insightful analyses. Clarke holds an MS in IT – Business Intelligence & Data Analytics from Carnegie Mellon University.

Daniel Troniak is an AI/ML Engineer with over six years of experience in machine learning, computer vision, and robotics. He holds an MSc in Computer Science. Recently, Daniel designed and developed vehicle detection and tracking algorithms, supporting large-scale deployment. He has contributed significantly to the fields of autonomous vehicles, advanced manufacturing, and operator assistance.

David Carlson is a seasoned Senior Data Scientist with a PhD in Political Methodology. He excels in quantitative analysis, machine learning, and statistical modeling. Notably, he accurately predicts election outcomes, co-founds academic programs, and pioneers research in political science. His expertise spans R, Python, AWS, and Bayesian inference, among others. Formerly with YouGov, CNN, and Koç University, David brings innovation and precision to every project.

Deepthi Tatineni, a seasoned Power BI Developer, offers 9 years of MS SQL Server expertise, including SSIS, SSRS, and Power BI. Proficient in ETL, report development, and data visualization, she excels in query optimization, data warehousing, and BI solutions for diverse industries. Adept in Agile methodologies and collaborative environments, Deepthi's strengths lie in problem-solving, communication, and delivering high-quality solutions.

Don Mayse is a seasoned Power BI Developer with extensive experience in Power BI, SQL, and SSIS. He has led end-to-end ETL processes and developed complex queries for Power BI views, utilizing Azure tools. Don has excelled in transforming raw data into meaningful insights, building interactive dashboards, and optimizing data models for companies like Dave & Buster's, CMS, and Murata. His expertise spans data modeling, requirements gathering, and business intelligence, supporting major business functions.

Felice is an accomplished data architect with extensive experience in data strategy and business collaboration. Known for his expertise in financial services, Felice excels in creating adaptable data solutions that drive actionable insights. At PNC, he led key data initiatives, including AI and Machine Learning integrations, and the deployment of advanced data platforms. Felice's technical proficiency spans SQL, data modeling, ETL, and big data platforms, underscored by certifications in TOGAF 9.1 and ITIL Foundation.

Frank Wasi is an AI/ML engineer with a strong background in developing and implementing advanced AI solutions. With hands-on experience in Azure AI/ML, natural language processing, and Generative AI, Frank specializes in prompt engineering, multilingual prompt completions, and chatbot development. He has a proven track record of enhancing model performance and user experience for large enterprises, including Microsoft and NTT Data.

Geoffrey is a seasoned Power BI Developer with a robust background in creating data-driven reports, automating workflows, and developing readable code. His expertise spans data analysis, business intelligence, and workflow automation, leveraging tools like Power BI, SQL, and Python. Geoffrey has significantly improved data strategies and efficiencies for companies in various industries, delivering actionable insights and enhancing self-service analytics capabilities.

Jared Anderson is a seasoned data scientist with nearly a decade of experience developing professional data science solutions for major organizations. Specializing in multi-platform data management and cloud-based analytics, Jared has successfully led projects in statistical modeling, data cleaning, and machine learning. He has helped companies like Bayer and Microsoft save costs and enhance customer experiences through advanced analytics and cross-functional business engagement.

Jay Chamarthi is an AI/ML Tech Lead with over 6 years of experience in AI/ML infrastructure, MLOps, and scalable design on large-scale cloud platforms. Specializing in GenAI and LLMs, Jay has expertise in frameworks like PyTorch and TensorFlow, and platforms such as AWS Sagemaker and Azure ML. With a strong background in J2EE architecture, Jay has successfully led projects, mentored teams and optimized business processes with advanced AI solutions.

Jay Ilakhunov is a Data Engineer with over 8 years of experience in developing, managing, and optimizing data pipelines. Proficient in T-SQL, BI tools such as SSMS, SSIS, SSRS, Power BI, and cloud services like Azure and AWS. Jay has contributed to retail, healthcare, and banking sectors, showcasing strong skills in SQL Server management, ETL processes, data modeling, and performance tuning.

Jeffery Wu is a senior data scientist with extensive expertise in applying machine learning, AI, and big data strategies. He has led collaborative research projects, garnering 866 citations. Jeffery has developed advanced algorithms and models for real-time video analysis, e-commerce, medical imaging, and customer sentiment analysis. He has successfully implemented data pipelines and MLOps frameworks for clients across various industries including finance, healthcare, and transportation.

Jeffrey K. Magouirk is a data scientist with a background in managing and analyzing large data sets, including structured and unstructured data from telecom, finance, and healthcare sectors. His expertise spans machine learning, deep learning, and statistical methods such as cluster analysis, decision trees, and gradient boosting. Jeffrey excels in data visualization, database analysis, and econometric modeling, leveraging tools like Python, R, SQL, and Tableau to deliver actionable insights.

Jian Wang is a data scientist with over five years of experience in developing innovative AI solutions for healthcare. With a Ph.D. in Mathematics and Machine Learning, Jian specializes in NLP and deep learning. At CloudMedx, he implemented encoder-based LLMs for healthcare data, enhancing patient care through accurate ICD-9 code extraction and automated patient rule verification. Jian has also built predictive models and chatbot applications, demonstrating a robust expertise in AI and data science.

Joe Gruenbaum is an experienced AI/ML engineer specializing in multi-cloud environments with a robust background in data architecture, machine learning, and software development. Joe has developed and implemented Python-based algorithms, APIs, and ETL pipelines for several organizations, including startups and Fortune 500 companies. His expertise in NLP, cloud platforms, and data engineering has consistently driven efficiency and innovation in various business contexts.

Joseph Daali is a Power BI developer with over 19 years of experience in strategic planning, cloud solutions, and delivering large-scale IT projects. He excels in data analytics, data governance, and BI solutions, particularly in healthcare, finance, and telecom sectors. He has led dynamic teams, developed executive dashboards, and implemented data governance frameworks, enhancing enterprise decision-making and data strategy alignment.

Joseph Karbowski is an AI/ML engineer with a diverse background, holding a PhD in Philosophy and an MS in Quantitative Economics. He specializes in AI, machine learning, and NLP, delivering predictive modeling and effective communication. At PNC Financial Services, Joseph optimized NLP configurations, explored LLM-based code generation, and received the BTI Ignite! award. His technical skills span Python, R, SQL, and big data technologies like Spark and Hadoop.

Jyothi Reddy Y is an Azure Data Engineer with over 12 years of IT experience specializing in data integration, business intelligence, and database development. Jyothi excels in designing and maintaining ETL pipelines and dashboards, utilizing tools such as Azure Data Factory, Azure Synapse Analytics, and Power BI. Jyothi has a proven track record of collaborating with stakeholders to align data strategies and deliver robust data solutions in healthcare, automotive, and financial domains.

Kamil M. Wakulik is a seasoned Power BI Developer with over 12 years of expertise in Data Governance, Data Management, and Report Development. Kamil excels in creating data-driven insights through advanced reporting tools and has successfully led projects across various industries. His proficiency in leveraging data as a strategic asset and aligning organizational goals with technical solutions has empowered several enterprises to achieve business growth and efficiency.

Karthik Manchikanti is a seasoned Snowflake consultant with over 10 years of IT experience, specializing in system analysis, design, development, migration, and production support. His expertise spans Azure Data Implementation, Big Data, and data warehousing. Karthik has led end-to-end migrations and developed ETL pipelines using ADF, PySpark, and Databricks, contributing to significant performance improvements. He has worked with major clients across various industries, including finance and telecommunications.

Kranthi Kommineni is an Azure Data Engineer with around 9 years in IT, specializing in Azure Logic Apps, Azure Data Factory, SSIS, and Power BI. Kranthi excels in designing and implementing data storage solutions and ETL processes using Azure technologies for ODS, Staging, and Data Warehousing. With a strong background in Python and SQL, Kranthi has supported organizations in developing data pipelines, integration solutions, and cloud-based data storage.

Lakshmi Rupa Thubati is a Power BI Developer with over a decade of expertise in Business Intelligence (BI) development. Proficient in the Microsoft BI stack (SSIS, SSRS, Power BI, SQL Server), Lakshmi excels in designing and implementing robust BI solutions. Lakshmi has successfully led BI projects for Fortune 500 companies, enhancing data strategies and decision-making processes.

Lauren Bruckstein is a skilled data analytics consultant proficient in Power BI, DAX, and SQL. She excels in report development, data visualization, and client collaboration. Her expertise includes ETL processes, KPI metric creation, and agile methodologies. With a background in computer science and AI research, Lauren brings a strong analytical mindset and a commitment to leveraging emerging technologies for impactful solutions.

Madhu Dhanagari, a Snowflake Consultant at OCLC, excels in innovative data architecture. His achievements include migrating 1 billion records to Snowflake, streamlining data pipelines with Kafka and AWS, and boosting query performance by 30%, enhancing organizational decision-making. With a robust technical skill set encompassing Azure, AWS, Snowflake, and more, Madhu delivers ingenious solutions for future-proof data management.

Madhuri is an Enterprise IT Data Architect specializing in Health Care Data. She excels in delivering data-driven solutions for Enterprise Data Engineering, Advanced Analytics, and Data Cataloging, both on-prem and in the Cloud. Her expertise includes Data Integration, Databases, CI-CD, Advanced Analytics, and Business Intelligence tools. Additionally, Madhuri spearheaded initiatives in Azure Synapse Analytics, Oracle upgrades, and Business Objects environment management, showcasing proficiency in performance tuning and query optimization.

Marshall is a seasoned Data Scientist with 20+ years' experience across diverse industries. He excels in developing predictive models, conducting advanced analytics, and fostering client relationships. Marshall led teams, mentored talent, and delivered impactful insights for major CPG clients, leveraging SQL, SAS, Python, and Tableau. He holds a Ph.D. in Social Psychology with a Statistical emphasis. Active in professional associations, Marshall is dedicated to advancing analytics and marketing research.

Matthew J. Benvenuto, an AI/ML Engineer skilled in architecting and implementing innovative business frameworks, specializing in Generative AI solutions. With 3+ years of expertise, he excels in data analysis, mining, and predictive modeling, leveraging cutting-edge AI technologies like Langchain and RAG Systems. Matthew has successfully delivered projects, such as AI-powered customer support replacement and sales team onboarding, for Fortune 500 clients like UPS.

Matthew Murdock, is an AI/ML Engineer with an MS in Computer Science focusing on Machine Learning. He has 4 years of industry experience across pharmaceuticals, manufacturing, and service sectors. Proficient in Python, R, SQL, and Java, Matthew crafts predictive models and leverages deep learning, NLP, and computer vision. Certified in TensorFlow and AWS, Matthew is adept at deploying solutions on cloud platforms.

Michael J. Hay is a skilled Data Scientist adept at applying programming and statistical techniques to solve complex problems. With expertise in machine learning, cloud technologies, and actuarial science, he has contributed to projects at Gastrograph AI and OCTO. His PhD in Earth and Space Sciences focused on statistical analysis of ice-crystal fabrics, showcasing his analytical prowess and teaching experience.

Nadine is a Power BI Developer adept at optimizing business processes and enhancing data-driven decision-making. With a decade of experience in IT, Nadine is proficient in SDLC, adept at stakeholder engagement, and excels in Agile methodologies. Her expertise spans Power BI, Tableau, SSRS, SSAS, and SQL Server. She holds multiple certifications including Scrum Master and Power BI Data Analyst Associate, and is fully clearable with public trust clearance.

Naga Lalitha Tamma is a seasoned data architect with 20 years of experience in enterprise data architecture, customer analytics, and BI solutions. Skilled in TOGAF, Zachman, and BIAN frameworks, she excels in data modeling and management across diverse domains. With a strong track record in project and program management, she's led teams onsite and offshore for Fortune 500 clients.

Nasim Khan is a seasoned Data Architect with 20+ years in Data Engineering, Warehousing, and BI. Proficient in cloud solutions like Azure, AWS, and Snowflake, Nasim has led numerous projects across diverse industries. Nasim excels in end-to-end project management, team leadership, and delivering actionable insights through advanced analytics and ML. Trusted by clients for robust data solutions, Nasim brings expertise in ETL, MDM, and cutting-edge BI tools, ensuring high-quality, scalable data architectures.

Nikolai Kletnoi is an accomplished Azure Data Architect with over 20 years of experience in data warehousing and cloud integration. Specializing in Azure and AWS platforms, he has successfully led large-scale data migration and transformation projects across various industries, including healthcare, finance, and manufacturing. Nick excels in designing complex ETL frameworks, enhancing performance of data-driven solutions, and implementing advanced analytics with tools like Databricks, Power BI, and Synapse.

Pratyush is an Oracle HCM Cloud Consultant with approximately twenty years of IT experience, specializing in Enterprise Applications Services. He has led global implementation projects across diverse industries, including finance, manufacturing, and healthcare. Pratyush excels in change management, risk management, and vendor management, with expertise in Oracle Cloud, SAP, and Workday. He has successfully guided multiple Fortune 500 companies through complex HCM transformations, ensuring seamless integration and adoption.

Rakesh Kumar G is an experienced ETL Analyst and Microsoft Azure Data Engineer Associate with over 9 years of expertise in data extraction, transformation, and loading using Informatica Power Center and Informatica Intelligent Cloud Services (IICS). Specializing in multi-platform data management, Rakesh has led the migration of on-premises data to Azure and has extensive experience in Azure Data Factory and Databricks. He has supported major enterprises across healthcare, finance, and insurance sectors in optimizing their data strategies and improving ETL processes.

Ramesh Reddy Kethireddi is a data engineer with over 10 years of experience in software and automation tools development. He specializes in data engineering, multi-platform tool development, and machine learning applications. Ramesh has significant expertise in Python, Hadoop, Spark, PySpark, and various databases, with a proven track record of contributing to end-to-end solutions for business use cases. He has successfully supported clients in financial services and technology sectors by aligning their data strategies and enhancing their data processing capabilities.