Dennis Hume
Education
Madison, Wisconsin, United States
Summary
🤩
Rockstar🎓
Top SchoolDennis Hume is a data engineer and developer-educator with a decade of experience building and operationalizing data pipelines across startups and developer tooling companies. He has held senior and staff data engineering roles at Drizly, Dutchie, and Pangea before moving into developer experience and education-focused positions at Materialize, Pinwheel, and now Dagster Labs. Dennis contributes to the popular open-source Dagster project, implementing ingestion, transformation, and asset definitions that bridge external sources like the U.S. Census into production workflows. His background blends hands-on pipeline engineering with developer advocacy and documentation, making complex orchestration patterns accessible to teams. Based in Madison, Wisconsin, he pairs an MLIS from UIUC with practical data engineering chops—an unusual mix that informs his focus on discoverability, reproducibility, and developer-first tooling. Colleagues rely on him to translate data-platform internals into clear examples and up-to-date code for real-world use.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (BA), Bachelor of Arts (BA) at Kenyon CollegeMaster of Library & Information Science (MLIS), Master of Library & Information Science (MLIS) at University of Illinois Urbana-Champaign
Github Skills (12)
etl10
orchestration10
dagster10
orchestra10
data-pipelines10
data-pipeline10
python10
data-integration10
data-engineering10
workflow-automation9
data-science7
analytics6
Programming languages (9)
Github contributions (5)
dagster-io/dagster
Apr 2022 - Apr 2022
An orchestration platform for the development, production, and observation of data assets.
Role in this project:
Data Engineer
Data EngineerContributions:80 reviews, 1 commit, 57 PRs in 1 day
Contributions summary:Dennis primarily contributes to the development and maintenance of data pipelines within the Dagster orchestration platform. Their work includes integrating with external data sources like Census, implementing data ingestion and transformation logic, and defining assets. The user demonstrates expertise in utilizing the Dagster framework for orchestrating data workflows. Key contributions involve creating and modifying code examples and examples to incorporate recent library updates and new features.
operationpythonobservationschedulermetadata
dehume/corise-dagster
Jul 2022 - Dec 2022
Contributions:3 releases, 34 commits, 36 PRs in 5 months
corisedagster
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