Karl Kaebnick is a Senior Data Engineer in Detroit with two decades of software experience and a decade focused on data engineering, governance, and web backend work. He designs and builds enterprise data warehouses and ELT pipelines using Python, Airflow, dbt and Django, and champions rigorous automated testing—often maintaining near-100% unit test coverage for critical repos. At the City of Detroit he has led projects from a topsoil data initiative to a citywide SMS platform serving 67,000 residents, blending technical delivery with cross-departmental collaboration and mentoring. His background ranges from early enterprise systems and full-text search at Alacra to language-learning backend work, giving him deep experience parsing, modeling and serving heterogeneous data. An avid jazz pianist and environmentalist, he brings a curator’s attention to quality and reproducibility in data systems.
10 years of coding experience
23 years of employment as a software developer
Post Baccalaureate Certificate, Computer Software Engineering, Post Baccalaureate Certificate, Computer Software Engineering at Harvard University
BA, Psychology, Philosophy, BA, Psychology, Philosophy at Boston University
Contributions:2 reviews, 341 commits, 19 PRs in 4 years 6 months
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