Jason Nemec

Senior Data Engineer @ Converge

About Jason Nemec

Jason Nemec is a Senior Data Engineer with extensive experience in data governance and analytics. He has held various roles in notable companies, including ING Direct, Capital One, and TD, and has contributed to the development of data products and frameworks that enhance data ownership and quality.

Current Role at Converge Technology Solutions Corp.

Jason Nemec serves as a Senior Data Engineer at Converge Technology Solutions Corp. since 2023. His role involves leveraging his extensive experience in data engineering to enhance data processes and solutions within the organization. He works remotely from Gatineau, Quebec, Canada, contributing to the company's data initiatives.

Previous Experience in Data Engineering and Analytics

Jason has held several positions in data engineering and analytics across various organizations. He worked at PANTAYA as a Data Engineer from 2021 to 2022, and before that, he was a Senior Data Engineer at ShiftKey from 2022 to 2023. His tenure at Capital One included roles as Senior Principal Application Developer and Data Steward, where he focused on data governance and analytics.

Educational Background in Information Science

Jason studied at Penn State Great Valley, where he earned a Master of Information Science (MIS) from 2002 to 2005. He also attended West Chester University of Pennsylvania, obtaining a Bachelor of Science in Mathematics Secondary Education from 1996 to 1998. His educational background supports his expertise in data management and analytics.

Contributions to Data Governance and Quality

Throughout his career, Jason has made significant contributions to data governance and quality. He led the setup of DBT on a Databricks platform and created reusable DBT macros focused on federated data governance. He implemented data quality rules and mechanisms for data contract enforcement, ensuring schema integrity across teams.

Leadership in Data Product Development

Jason has played a key role in developing data products within a Data Mesh framework. He developed and rolled out twenty core data products, enabling teams to create their own analytics solutions. His efforts in knowledge-sharing and best practices documentation have supported internal teams in transitioning to modern data platforms.

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