Jay ⛷ Silverman
About Jay ⛷ Silverman
Jay Silverman is a Principal Engineer specializing in Cloud and Data Engineering at Ocelot Consulting, with a background in data science and analytics. He has held various roles in notable companies, including Bayer and Monsanto, and has 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, a position he has held since 2020. His role involves leveraging cloud technologies and data engineering practices to enhance client solutions. Silverman focuses on creating efficient data pipelines and modern data architectures to support business intelligence and analytics initiatives.
Previous Experience at Bayer
From 2016 to 2020, Jay Silverman worked at Bayer as the Data Science and Analytics Lead. In this role, he was responsible for leading data science initiatives and analytics projects, contributing to the company's data-driven decision-making processes. His experience at Bayer spanned four years, during which he developed expertise in data analysis and strategic insights.
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. He also holds a Bachelor of Science (B.S.) in Biochemistry and Molecular Biology from Ursinus College, completed from 2003 to 2007. His educational background provides a strong foundation in scientific research and data analysis.
Professional Background
Jay Silverman's professional background includes diverse roles in data engineering and IT management. Before joining Ocelot Consulting, he worked at Monsanto Company in various capacities, including IT Strategy and Project Manager and IT Product Delivery Analyst. He also served as a Consultant at Slalom, focusing on cloud, DevOps, and security solutions. His experience spans over a decade in technology and data-driven roles.
Key Projects and Contributions
Throughout his career, Jay Silverman has contributed to significant projects in data engineering. Notably, he performed a Well-Architected Framework review for a global foods and beverages enterprise, identifying infrastructure pain points. He also created a secure data pipeline using Databricks and constructed a modern data lake with historical snapshots, enhancing data accessibility and reporting capabilities for clients.