Summary
Kevin Marlis is a Scientific Applications Software Engineer II with nine years of experience building cloud-native, serverless ETL pipelines for large-scale Earth science data at NASA JPL. He designs and scales automated workflows using AWS Lambda, Step Functions, and container orchestration to deliver analysis-ready datasets with an emphasis on cost-efficiency and near-real-time public access. Kevin bridges research and engineering, leading architecture decisions that integrate models and observational data while mentoring cross-disciplinary teams on robust cloud practices. His work has supported the graduation of an open science platform to a Top-Level Apache Project and streamlines data ingestion from major repositories like PO.DAAC and NSIDC. Based in Los Angeles, he pairs an MS in Computer Science with a background in English, which informs clear technical communication across stakeholders. He’s particularly focused on sustainable, maintainable systems that enable ongoing scientific discovery and public data accessibility.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at California State University-Los Angeles
Bachelor of Arts - BA, English Language and Literature, General, Bachelor of Arts - BA, English Language and Literature, General at UC Santa Barbara