apache/atlas
Sep 2025 – Sep 2025
1 Month active
Languages Used
JavaJavaScript
Technical Skills
Audit LoggingBackend DevelopmentData ManagementFrontend DevelopmentJavaJavaScript
achandel-01
PROFILE
Achandel-01
Abhinav Chandel developed an automated entity purge feature for the apache/atlas repository, focusing on lifecycle management and data governance. He implemented backend logic in Java to safely delete entities and maintain comprehensive audit trails, while also updating the frontend in JavaScript to display purge details for both manual and automated actions. His work enhanced audit logging and data management, reducing manual maintenance and improving user visibility into entity deletions. By integrating automated purge operations with robust auditing and UI enhancements, Abhinav addressed workflow efficiency and compliance needs, demonstrating depth in backend development, frontend integration, and system administration within a complex data platform.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,094
Activity Months1
Your Network
20 peopleShared Repositories
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Madhan NeethirajMember
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for Apache Atlas focused on delivering automated lifecycle management enhancements. Delivered automated purge for entities with enhanced auditing, added UI visibility for both manual and auto-purged entities, and implemented backend support to safely delete and audit purged entities. This reduces manual maintenance, strengthens data governance, and accelerates data lifecycle workflows.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for Apache Atlas focused on delivering automated lifecycle management enhancements. Delivered automated purge for entities with enhanced auditing, added UI visibility for both manual and auto-purged entities, and implemented backend support to safely delete and audit purged entities. This reduces manual maintenance, strengthens data governance, and accelerates data lifecycle workflows.
September 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaJavaScript
Technical Skills
Audit LoggingBackend DevelopmentData ManagementFrontend DevelopmentJavaJavaScriptSystem Administration
Repositories Contributed To
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