Summary
Chris Min is a Staff Data Engineer with 8+ years building scalable data platforms and hybrid ETL pipelines across on-prem, AWS, and Azure environments. He combines hands-on expertise in Scala, Python, Spark, Kafka, and Kubernetes with practical experience shipping microservices (Play, http4s) and containerized deployments. Chris has led cross-functional teams as an engineering lead and acting Head of Engineering, architecting ingestion, de-duplication, and matching systems that process billions of records. Though not primarily a data scientist, he collaborates closely with ML teams and has experimented with TensorFlow and Spark MLlib to operationalize models. His public repos include runnable examples for Spark on Kubernetes and microservice templates, reflecting a pragmatic, reproducible approach to production data engineering. Based in Atlanta, he brings a blend of systems-level thinking and developer-first tooling to solve real-world scalability problems.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Georgia Institute of Technology
English