Benji Nguyen is a data engineer with 12 years of experience building production ETL pipelines and data platforms, currently focused on scalable AWS architectures at Meta after leading data engineering at Nomi Health. He specializes in Python, R, and SQL, and has hands-on experience with Lambda, Kinesis, S3, DynamoDB, Postgres, and Snowflake to turn high-volume medical testing data into actionable analytics. His background includes C# systems work at Epic and full-stack web projects using Django, Flask, and modern JavaScript libraries, giving him fluency across backend, datastore, and UI layers. A Stanford-trained researcher in operations research and public policy, he brings an experimental, metrics-driven approach to designing data products that support healthcare operations. Colleagues rely on him for architecture guidance and mentorship as well as pragmatic, production-ready implementations.
12 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Symbolic Systems, Bachelor of Science (B.S.), Symbolic Systems at Stanford University
Contributions:35 PRs, 38 pushes, 2 branches in 12 days
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