Matt Flowers is a Lead Data Engineer with a decade of experience turning large-scale data into actionable insight, currently driving data platform work at 84.51˚. He combines deep Python/PySpark expertise with strong TypeScript/Java and Spring skills to build reliable ETL pipelines and data services across Azure, Databricks, and Snowflake. A University of Cincinnati computer science graduate, Matt progressed from co-op developer roles into senior and now lead engineering positions, demonstrating steady technical leadership and production-grade delivery. Known for pragmatic problem solving and clear engineering trade-offs, he keeps a developer’s curiosity—balancing backend rigor with approachable, well-documented solutions. Outside of work he’s a Cincinnati local with a surprisingly steadfast loyalty to Skyline Chili at lunch, a small detail that signals both local roots and a grounded work style.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Cincinnati
Contributions:13 PRs, 84 pushes, 46 branches in 5 years 11 months
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