apache/airflow
Mar 2026 – Mar 2026
1 Month active
Languages Used
PythonTypeScriptYAML
Technical Skills
API DevelopmentBackend DevelopmentSQLTestingbackend developmentdatabase optimization
Jeff Stein
PROFILE
Jeff Stein
In March 2026, Jeff Stein enhanced the apache/airflow repository by improving DAG ID query filtering for API endpoints. He introduced a required dag_id filter on TaskInstance and DagRun queries, leveraging a composite index to optimize database performance and ensure API correctness. Using Python and SQL, Jeff updated both the API documentation and test suites to reflect these changes, reducing the risk of invalid queries and enabling faster, more accurate DAG data retrieval. His work focused on backend development and database optimization, delivering a targeted feature that improved developer experience and addressed common pain points in DAG-related API workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
40
Activity Months1
Your Network
72 peopleWork History
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 — Apache Airflow: Dag ID Query Filtering Improvements delivering API correctness and performance enhancements through dag_id filtering on TaskInstance queries (with a composite index) and mandating dag_id in DagRun queries; API docs and tests updated. Business value: faster, more accurate DAG data retrieval; reduced risk of invalid queries; improved developer experience for DAG-related queries.
2 Commits • 1 Features
Mar 1, 2026March 2026 — Apache Airflow: Dag ID Query Filtering Improvements delivering API correctness and performance enhancements through dag_id filtering on TaskInstance queries (with a composite index) and mandating dag_id in DagRun queries; API docs and tests updated. Business value: faster, more accurate DAG data retrieval; reduced risk of invalid queries; improved developer experience for DAG-related queries.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTypeScriptYAML
Technical Skills
API DevelopmentBackend DevelopmentSQLTestingbackend developmentdatabase optimization
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