Jay 🎮 Silverman
About Jay 🎮 Silverman
Jay Silverman is a Principal Engineer specializing in Cloud and Data Engineering at Ocelot Consulting, where he has worked since 2020. He has extensive experience in automating reporting and creating secure data pipelines for global enterprises, and he holds a Ph.D. in Microbiology from the University of Wisconsin-Madison.
Work at Ocelot Consulting
Currently, Jay Silverman serves as Principal Engineer in Cloud and Data Engineering at Ocelot Consulting. He has held this position since 2020, contributing to various projects that enhance data accessibility and reporting capabilities. His work includes the creation of secure data pipelines and modern data lakes, which facilitate efficient data management for clients. He focuses on integrating data pipelines with analytical tools such as Tableau, Power BI, and Azure ML, enabling clients to perform advanced analytics and generate rapid reports.
Education and Expertise
Jay Silverman earned a Doctor of Philosophy (Ph.D.) in Microbiology from the University of Wisconsin-Madison, where he studied from 2007 to 2012. Prior to that, he obtained a Bachelor of Science (B.S.) in Biochemistry and Molecular Biology from Ursinus College, completing his degree from 2003 to 2007. His educational background provides a strong foundation for his expertise in cloud engineering, data analytics, and IT strategy.
Background
Jay Silverman has a diverse professional background in technology and data engineering. He began his career as an Event Programming Intern and Campus Center Manager at Ursinus College from 2004 to 2007. He then worked as a Doctoral Research Assistant at the University of Wisconsin-Madison from 2007 to 2012. His experience includes roles at Monsanto Company, where he served as IT Strategy and Project Manager and IT Product Delivery Analyst, as well as a Data Science and Analytics Lead at Bayer from 2016 to 2020.
Achievements in Data Engineering
Throughout his career, Jay Silverman has achieved significant milestones in data engineering. He enabled complex, automated reporting for a global foods and beverages enterprise, eliminating the need for manual data manipulation. He also performed a Well-Architected Framework review to identify infrastructure pain points and constructed a modern data lake with historical snapshots using Delta Lakes. His work has empowered clients with improved data ingestion and accessibility.