atlanhq/atlan-python
Sep 2025 – Oct 2025
2 Months active
Languages Used
Jinja2Python
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCode GenerationData ModelingData Quality
Uday Sagar
PROFILE
Uday Sagar
Uday Sagar enhanced data quality automation in the atlanhq/atlan-python repository by delivering two major features over two months. He first built a comprehensive Data Quality Rule Conditions and Row Scope Filtering system, enabling precise enforcement and governance for data pipelines. Using Python and Jinja2 templating, he introduced dynamic configuration of row-scope filters and expanded unit test coverage to ensure reliability and reduce regression risk. Uday then refactored the Data Quality Rule Configuration workflow, replacing raw argument handling with structured arguments to improve maintainability and clarity. His work strengthened data quality tooling and laid a foundation for future extensibility.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
2
Lines of code
1,313
Activity Months2
Your Network
68 peopleShared Repositories
20
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Focused on improving data quality automation in the atlanhq/atlan-python repository by refactoring the Data Quality Rule Configuration workflow. The change removes reliance on populating raw arguments and adopts structured arguments directly, improving clarity, maintainability, and future extensibility of data quality rule generation. This work is traceable to commit 6370accf84fcb59819ebe5eedcde9463a83f720c and lays the groundwork for more robust configuration handling.
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Focused on improving data quality automation in the atlanhq/atlan-python repository by refactoring the Data Quality Rule Configuration workflow. The change removes reliance on populating raw arguments and adopts structured arguments directly, improving clarity, maintainability, and future extensibility of data quality rule generation. This work is traceable to commit 6370accf84fcb59819ebe5eedcde9463a83f720c and lays the groundwork for more robust configuration handling.
October 2025
September 2025
10 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for atlan-python focusing on delivering a major Data Quality (DQ) enhancement, stabilizing incremental runs, and strengthening governance capabilities for data pipelines.
September 2025
10 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for atlan-python focusing on delivering a major Data Quality (DQ) enhancement, stabilizing incremental runs, and strengthening governance capabilities for data pipelines.
Activity
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Quality Metrics
Correctness88.2%
Maintainability83.6%
Architecture82.8%
Performance76.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jinja2Python
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCode GenerationCode OptimizationData ModelingData QualityJinja TemplatingPythonPython DevelopmentRefactoringTemplate EngineUnit Testing
Repositories Contributed To
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