Summary
John Games is a Senior Data Engineer with 11 years of experience building production-ready data platforms and ML-backed products, currently shaping data infrastructure at Netflix in Los Angeles. He brings deep functional-programming sensibilities—Haskell, Scala, and Clojure influence his approach—to design succinct, testable, and reusable systems for distributed and big-data workloads. Early-stage engineering at DataScience, Inc. honed his ability to own greenfield projects end-to-end, translating research notebooks into scalable pipelines on Spark and AWS. His background spans full-stack work (React/Node) to backend data engineering, giving him a rare combination of product-facing and infrastructure expertise. Interested in category theory and lambda calculus, he applies rigorous abstractions to practical shipping priorities, favoring robust, well-tested code over academic perfection. Outside work he’s a California burrito enthusiast and brings a San Diego pragmatism to solving hard engineering problems.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (BA), Psychology, Bachelor of Arts (BA), Psychology at Point Loma Nazarene University
JD/MS Finance, Law/Finance, JD/MS Finance, Law/Finance at Washington University in St. Louis
English, Spanish