Jens Leerssen is a pragmatic Data Engineer with 10 years of experience building resilient data warehouses and automated pipelines, currently shaping analytics at Interwell Health from Missoula, Montana. He combines strong SQL and R skills with software engineering practices to align messy, documentation-sparse data into scalable ETL and Airflow-driven workflows that serve clinical, financial, and operational stakeholders. At Cricket Health he architected an enterprise research reporting database and wrote SQL generators that translated design docs into production pipelines, accelerating onboarding of new payors and sources. Jens applies data science and ML pragmatically to mitigate fraud and risk, with hands-on work refactoring legacy Redshift pipelines and improving data quality across merged healthcare entities. An active maintainer on community projects, he’s contributed backend data-loading and integrity fixes to the popular py4e geodata module, reflecting a focus on reliable data ingestion. With a background spanning clinical trials, biotech, education, and finance, he pairs quantitative rigor with a knack for simplifying complex data lifecycles.
10 years of coding experience
7 years of employment as a software developer
Software Engineering, Software Engineering at Hack Reactor
Diplome (with Distinction): Business/Commerce Economics French Language and Civilization, Diplome (with Distinction): Business/Commerce Economics French Language and Civilization at Université Paris-Sorbonne
Bachelor of Arts (BA) Psychology (Experimental and Quantitative Studies of Human Behavior); Anthropology, Bachelor of Arts (BA) Psychology (Experimental and Quantitative Studies of Human Behavior); Anthropology at Vanderbilt University
Web site for www.py4e.com and source to the Python 3.0 textbook
Role in this project:
Back-end Developer
Contributions:13 commits, 4 PRs, 1 comment in 3 months
Contributions summary:Jens primarily contributed to the project by making changes related to data loading, database interactions, and code formatting within the `geodata` module. Their work involved removing deprecated functions, standardizing whitespace, and spell-checking. They also addressed issues related to testing output by reverting previous commits. The commits suggest a focus on maintaining code quality, data handling, and ensuring the integrity of the data loading process.
Descriptive information about Deals; including their Merchants, Locations, and Categories
Contributions:28 PRs, 172 pushes, 26 branches in 22 days
merchantsdealsdescriptivefinancelocations
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