Maxime Beauchemin Portfolio
GitHub profile of Maxime Beauchemin, original creator of Apache Airflow and Apache Superset — two of the most widely deployed open-source tools in data engineering — and founder of Preset, now maintaining an awesome-data-engineering resource list and newer projects like duckstreams.
What makes it work
A breakdown of the choices that make this portfolio stand out.
Two category-defining tools originating from one profile
Airflow (orchestration) and Superset (visualization) each anchor a different layer of the modern data stack, and both trace back to the same person's early work — a rare breadth of foundational open-source contribution.
A maintained "awesome list" as a curated map of the ecosystem
The awesome-data-engineering repo turns his personal view of the ecosystem into a public, continuously updated resource other engineers rely on for tool discovery, extending his influence beyond the tools he personally built.
New, smaller experiments alongside the legacy flagship projects
Newer, smaller repos (duckstreams, a CLI tool) show ongoing hands-on building rather than resting entirely on Airflow and Superset's reputation from years ago.
What Data Engineers can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
If you've built a foundational tool, keep a visible, updated presence (new small repos, active involvement) rather than letting the profile read as a historical artifact.
Curating a resource list for your field is a low-effort, high-value way to stay relevant to a community even between major project releases.
Let your profile show tools spanning different layers of the stack you work in, not just one — it demonstrates systems-level thinking, not a single point solution.
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