adobe/spacecat-audit-worker
Sep 2025 – Sep 2025
1 Month active
Languages Used
JavaScript
Technical Skills
API IntegrationAWS SDKBackend DevelopmentCode RefactoringConfiguration ManagementData Processing
Yaashi Madan
PROFILE
Yaashi Madan
Worked on the adobe/spacecat-audit-worker repository to enhance LLM error pages audit and reporting, focusing on scalable data processing and reliable report generation. Leveraged JavaScript and Node.js to improve URL handling, normalize data, and map responses between Mystique and Spacecat, ensuring audit accuracy and actionable outputs. Migrated CDN logs to a unified S3 bucket, streamlining ingestion and aligning Excel report outputs with the cdn-logs-report schema. Applied skills in API integration, AWS SDK, and backend development to enforce payload constraints, improve path resolution, and increase messaging reliability, resulting in faster, more accurate audits and scalable monitoring for ongoing compliance needs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
1
Lines of code
2,906
Activity Months1
Your Network
511 peopleSame Organization
@adobe.com452
Work History
September 2025
6 Commits • 1 Features
Sep 1, 2025September 2025 performance summary for adobe/spacecat-audit-worker focused on delivering reliable LLM error pages audit and reporting, improved URL handling, and scalable CDN-log data processing. Key outcomes include enhanced URL filtering and normalization, stronger Mystique-to-Spacecat data mapping, and Excel/report outputs aligned with the cdn-logs-report schema. Infrastructure changes migrated CDN logs to a single S3 bucket for streamlined processing, and several fixes improved messaging reliability and path resolution accuracy. Business value delivered includes faster, more accurate audits, actionable reports, and scalable data ingestion for ongoing monitoring and compliance.
6 Commits • 1 Features
Sep 1, 2025September 2025 performance summary for adobe/spacecat-audit-worker focused on delivering reliable LLM error pages audit and reporting, improved URL handling, and scalable CDN-log data processing. Key outcomes include enhanced URL filtering and normalization, stronger Mystique-to-Spacecat data mapping, and Excel/report outputs aligned with the cdn-logs-report schema. Infrastructure changes migrated CDN logs to a single S3 bucket for streamlined processing, and several fixes improved messaging reliability and path resolution accuracy. Business value delivered includes faster, more accurate audits, actionable reports, and scalable data ingestion for ongoing monitoring and compliance.
September 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability88.4%
Architecture85.0%
Performance83.4%
AI Usage30.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
API IntegrationAWS SDKBackend DevelopmentCode RefactoringConfiguration ManagementData ProcessingError HandlingExcel ManipulationNode.jsS3SQLSharePoint IntegrationTestingURL Handling
Repositories Contributed To
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