Dalton Maahs is a software engineer with a decade of hands-on experience building reliable testing and data quality systems, currently focused on Data Quality Engineering at Surest. He designs and maintains integration testing pipelines for data lake ETL workflows and has led efforts to standardize quality engineering practices across Data Engineering and Data Science teams. Previously he built an automated performance testing suite for a benefits API from scratch in six months, demonstrating pragmatic delivery under tight timelines. A strong advocate of test-driven development and automated testing, he pairs backend and database expertise (SQL and NoSQL) with fluency in Linux/Windows and Git-based workflows. Dalton is an active open-source contributor—most notably to the Rust tldr client tealdeer—and has published data analysis research on COVID-19 case patterns against Benford’s Law. Based in Elk River, MN, he brings a curious, break-it-and-fix-it approach to deeply understand tools and systems while prioritizing production safety.
10 years of coding experience
2 years of employment as a software developer
B.S. in Software Engineering College Of Science and Engineering, B.S. in Software Engineering College Of Science and Engineering at St. Cloud State University
Computer Science - AS Computer Science, Computer Science - AS Computer Science at Anoka-Ramsey Community College
Contributions:50 pushes, 9 branches in 1 year 11 months
rusttldr
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