Maxime Beauchemin
Founder at preset-io
Belmont, California, United States
Summary
🤩
Rockstar
Top expert inData Engineering and Analytics Technologies
Maxime Beauchemin is a founder and veteran data engineering leader with 15 years of experience building scalable data platforms and developer-facing products from the Bay Area. He is the creator of Apache Airflow and Apache Superset and currently leads Preset, blending product vision with hands-on full‑stack engineering. His career spans data roles at Lyft, Airbnb, Facebook and Yahoo!, where he translated analytics requirements into reliable pipelines and visualization tooling. An active open-source maintainer, he contributes across UI and backend layers—improving query handling, visualization UX and connectors such as pydruid—demonstrating deep familiarity with both data infrastructure and developer ergonomics. Notably, his work often focuses on making complex data workflows and visualizations approachable for teams, turning internal operational needs into widely adopted OSS products.
15 years of coding experience
19 years of employment as a software developer
Stackoverflow
1reputation
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0questions
Github Skills (31)
data-visualizations10
javascript10
python10
apidoc10
ui-components10
query-optimization10
data-visualisation10
flask-ask10
apache-superset10
api10
front-end-development10
data-visualization10
flask10
crud10
react10
Programming languages (15)
Github contributions (5)
druid-io/pydruid
Jun 2015 - Sep 2022
A Python connector for Druid
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 reviews, 62 commits, 107 PRs in 7 years 4 months
Contributions summary:Maxime primarily contributed to enhancing the `pydruid` library, a Python connector for Druid. Their work included adding support for features like limit specifications and regex filters within the query functionality. The user also addressed compatibility issues, specifically fixing string type checks in Python 2, and implemented functionalities such as pandas export for select queries. They also improved code quality by linting with flake8 and adding scan query support.
connectorpythondruid
apache/superset
Jul 2015 - Nov 2022
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:9 releases, 1386 reviews, 2369 commits in 7 years 6 months
Contributions summary:Maxime contributed to both the front-end and back-end aspects of the Apache Superset project. Their commits primarily involved front-end development, with the implementation of features such as chart customizations and the improvement of the table editor. They also made back-end modifications, particularly around the visualization flow for data access, and they contributed to database interaction by enhancing the handling of time grains and SQL query processing.
pythonapache-supersetflaskbusiness-analyticsbusiness-intelligence
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