Lawrence Lai is a Senior Data Engineer with 11 years of experience building and optimizing ETL pipelines, data warehouses, and ingestion tools for biopharma and agtech at PatientsLikeMe, Indigo Ag, and John Burns Research. He brings deep expertise in PySpark, Airflow, Snowflake/dbt, AWS, and high-volume data processing at the gigabyte-to-terabyte scale, having designed and maintained 100+ schema tables and hundreds of ETL tasks. A PhD-trained chemical engineer from MIT, he blends rigorous computational modeling and statistical methods with production data engineering to support biological and geospatial research. He’s delivered data-driven UIs and ingestion apps (Plotly Dash, Rails/React) and automated legacy migrations to cloud platforms. Outside of engineering he’s a 1st Dan Taekwondo black belt, reflecting a disciplined, experimentation-driven approach to problem solving.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Chemical Engineering, Doctor of Philosophy - PhD Chemical Engineering at Massachusetts Institute of Technology
Bachelor of Science - BS Chemical Engineering, Bachelor of Science - BS Chemical Engineering at University of Michigan
Contributions:12 PRs, 40 pushes, 6 branches in 6 years
react
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