Summary
Mitchell Chea is a Lead Data Engineer with eight years of experience specializing in healthcare data platforms, evolving from SQL Server and SSIS expertise to modern stacks like Airflow, Snowflake, and dbt. He leads and mentors teams of engineers, owns end-to-end ETL design for high-volume CCD/CCDA pipelines, and has migrated critical workloads to cloud-native architectures. Mitchell has hands-on experience validating millions of XML clinical documents at scale, producing auditable outputs and driving cross-team delivery for HEDIS and compliance projects. He has also applied data science to complex compliance investigations, reverse-engineering multi-billion-dollar litigation datasets to surface actionable insights. Based in the Greater Tampa Bay Area, he combines deep SQL performance tuning and legacy report modernization with practical leadership in distributed and remote engineering environments.
8 years of coding experience
7 years of employment as a software developer
Computer Science, Computer Science at St. Petersburg College
Computer Engineering, Computer Engineering at University of Central Florida