Summary
Paul Russum is a data engineering and machine learning leader with over a decade of experience building scalable, maintainable analytics platforms across healthcare, logistics, finance, and education. He has a track record of turning complex business problems into automated, production-ready solutions—most notably reducing manual quality-measure processing to zero and architecting ETL frameworks now reused enterprise-wide. Paul blends hands-on technical depth in data modeling, CI/CD, and SQL performance with people leadership, mentoring architects and transitioning teams to modern DevOps practices. Currently leading Value Based Care analytics architecture and pursuing an M.S. in Applied Mathematics, he brings both rigorous analytical training and practical delivery experience to drive measurable business outcomes.
10 years of coding experience
10 years of employment as a software developer
Master's degree Applied Mathematics, Master's degree Applied Mathematics at DePaul University
Pre-Graduate Studies Mathematics, Pre-Graduate Studies Mathematics at Northwestern University
BBA Accounting Management Information System, BBA Accounting Management Information System at The University of Iowa Tippie College of Business