Joe Li
San Lorenzo, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJoe Li is a senior engineering leader with nearly 20 years of experience building test automation, CI/CD pipelines, and internal platforms that enable faster, safer shipping across SaaS, data, and developer tooling teams. Currently a Superset Committer and PMC member and Senior Engineering Manager at Preset, he blends hands-on dependency and database maintenance contributions to the popular Apache Superset project with strategic ownership of release and quality practices for bi-weekly open source deployments. He has led globally distributed teams at Atlassian and startups, standing up greenfield testing infrastructure, refactoring legacy systems, and aligning quality metrics with product and engineering objectives. Joe’s expertise spans the full lifecycle from release readiness and observability to performance validation and incident prevention, with a track record of scaling processes that reduce risk and speed delivery. He is comfortable both diving into build configs and migrations and coaching cross-regional teams to adopt sustainable automation. Based in San Lorenzo, CA, he combines pragmatic engineering with community-driven open source stewardship.
4 years of coding experience
16 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at University of California, Davis
Github Skills (15)
dependency-management10
apache-superset10
back-end-development10
py10
python10
setuptools10
database-migration9
database-migrations9
flask8
flask-ask8
sql8
data-engineering7
data-visualizations7
data-visualisation7
data-visualization7
Programming languages (4)
Github contributions (5)
apache/superset
Mar 2022 - Oct 2022
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 releases, 204 reviews, 8 commits in 7 months
Contributions summary:Joe primarily contributed to dependency management and build configurations, including updating and pinning Python package versions in `setup.py`. They also addressed code related to database migration, including removing tables and adding columns. Furthermore, the user made adjustments to front-end components and configurations. This suggests a focus on maintaining and improving the project's dependencies and database interactions.
pythonapache-supersetflaskbusiness-analyticsbusiness-intelligence
sadpandajoe/superset
Mar 2024 - Mar 2024
Apache Superset is a Data Visualization and Data Exploration Platform
Contributions:1 push in 1 day
data-analyticsdata-explorationapache-supersetdata-and-visualizationbusiness-analytics
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