Summary
Philip Reed is a software engineer with 11 years of experience straddling data engineering and backend development, currently based in Chicago. He combines a strong Python backend skillset with practical experience in Scala, Rust, AWS architectures, and production data workflows such as Airflow, Kafka, and Spark. His work ranges from building green-field CI/CD for QuickSight and automating large-scale claim-line processing to converting SAS Viya pipelines to Python, demonstrating both technical breadth and pragmatic migration judgement. Philip pairs hands-on engineering with a PhD-trained research mindset—he has scaled code to run millions of regressions for peer-reviewed social science and applies iterative, customer-driven evaluation to architecture choices. He’s also practiced in mentoring and process improvement, having cut batch times by ~60% and onboarded colleagues into critical production roles. Curious and methodical, he’s exploring Rust and organizational behavior while translating research rigor into reliable data platforms.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy - PhD, Information Science, Doctor of Philosophy - PhD, Information Science at University of Washington
Master of Arts - MA, Higher Education, Master of Arts - MA, Higher Education at University of Michigan
Bachelor of Arts (B.A.), Latin American Studies, Economics, Bachelor of Arts (B.A.), Latin American Studies, Economics at Vanderbilt University
English, Portuguese, Spanish, French