Zhe-you Liu
Software Engineer at The Apache Software Foundation
Taoyuan City, Taiwan
Summary
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Rockstar🎓
Top SchoolZhe-You (Jason) Liu is a backend-focused software engineer and senior CS student from Taiwan with five years of hands-on experience in distributed systems and production services. An Apache Airflow Committer who has contributed 100+ PRs and reviewed 300+ more, he’s driven significant stability and performance improvements—such as a 10x memory reduction when reading webserver logs and refactoring multiple core REST endpoints from Flask to FastAPI. He’s shipped features and fixes across large-scale open source infrastructure (including a bugfix for PythonOperator handling DAGs with hyphens and a public list-tags API) while interning on backend teams at Microsoft and Appier. His work spans backend refactors, auth for core APIs, resilient async workflows, and test-flake fixes for Kubernetes and E2E suites, showing both product impact and engineering rigor. Now at Astronomer, he continues to bridge OSS leadership with production engineering, often tackling subtle reliability and API ergonomics issues that others miss. He pairs strong TDD and automation practices with a knack for simplifying complex system behaviors into robust, maintainable components.
5 years of coding experience
1 year of employment as a software developer
資訊工程學系, 資訊工程學系 at National Cheng Kung University
Stackoverflow
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Github Skills (13)
apache-airflow10
orchestration10
workflow-engine10
orchestra10
api10
data-pipeline10
pytest10
data-pipelines10
python10
apidoc10
data-engineering9
sqlalchemy9
fastapi8
Programming languages (14)
Github contributions (5)
apache/airflow
Jul 2023 - Apr 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Backend Developer
Backend DeveloperContributions:145 reviews, 103 PRs, 4 pushes in 1 year 8 months
Contributions summary:Zhe-you primarily contributed to the Apache Airflow project by fixing a bug related to the `PythonOperator` in DAGs with hyphens in their names, and also implemented a new API for public list tags. They also refactored various components and test cases within the project, including tests related to API functionality and also the core airflow utility file that handles unique module naming. These changes reflect a focus on enhancing the usability and functionality of Airflow's core functionalities.
monitorpythonschedulerapacheprogrammatically
jason810496/airflow
Oct 2024 - Mar 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:568 pushes, 103 branches in 5 months
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