databrickslabs/dqx
May 2026 – May 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
FastAPIbackend developmentdata quality monitoringrole-based access controlunit testing
BerryBlue
PROFILE
Berryblue
Worked on the databrickslabs/dqx repository to enhance DQX Studio’s security, governance, and reliability by implementing role-based access control with owner-based permissions across key workflows. Leveraged FastAPI and Python to align metrics collection with DQMetricsObserver, migrating data to a long format while maintaining UI continuity. Introduced an admin-managed label catalog for user metadata, supporting YAML import/export and advanced filtering. Expanded backend unit testing, adding nearly 300 tests to improve coverage and reliability of authorization and rules logic. Consolidated migration history for smoother deployments and reinforced operational processes, focusing on robust error handling and scalable data quality monitoring solutions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
13,063
Activity Months1
Your Network
335 peopleSame Organization
@databricks.com314
Shared Repositories
21
Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for databrickslabs/dqx focusing on security, governance, and reliability improvements for DQX Studio. Delivered RBAC controls with owner-based permissions, integrated DQMetricsObserver-aligned metrics, introduced a label catalog for user_metadata, and consolidated migration history. Expanded backend test coverage and reinforced deployment/ops processes. Implemented cross-table rules handling, enhanced dry-run/error reporting, and UX/data modeling improvements to support governance and scale.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for databrickslabs/dqx focusing on security, governance, and reliability improvements for DQX Studio. Delivered RBAC controls with owner-based permissions, integrated DQMetricsObserver-aligned metrics, introduced a label catalog for user_metadata, and consolidated migration history. Expanded backend test coverage and reinforced deployment/ops processes. Implemented cross-table rules handling, enhanced dry-run/error reporting, and UX/data modeling improvements to support governance and scale.
May 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
FastAPIbackend developmentdata quality monitoringrole-based access controlunit testing
Repositories Contributed To
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