Summary
Saki Chen is a seasoned Data Engineer with 10 years of experience architecting cloud-native data platforms across Azure, Snowflake, and AWS for healthcare, insurance, finance, and media clients. She specializes in Medallion/Delta Lake architectures, PySpark migrations, automated validation frameworks, and delivering business-ready Snowflake models that power self-service BI and executive reporting. At Deloitte and EXL she built end-to-end pipelines that improved data traceability, governance, and cost-efficiency while converting single-threaded Pandas jobs into distributed PySpark workflows for 500GB+ datasets. Her background as a business analyst and project manager helps her translate stakeholder requirements into robust, auditable data products—and she’s pragmatic about observability, embedding monitoring with Databricks, Azure Monitor, and Snowflake query history. Based in the San Francisco Bay Area with an MS in Business Analytics from Baruch College, she combines technical depth with a strong focus on regulatory compliance and operational reliability.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at Baruch College
Japanese