
Worked on the 18F/identity-idp repository to deliver two core data governance and analytics features over two months. Developed a daily reporting job that scans data warehouse metadata, classifies columns as sensitive or non-sensitive based on comments, and uploads JSON reports to AWS S3, establishing automated governance visibility. Enhanced the data warehouse export process by adding a deleted_at timestamp to the deleted_users table, enabling precise tracking and reporting of deleted user data for compliance and analytics. Leveraged Ruby, SQL, and backend development skills, with a focus on job scheduling, schema migration, and cloud storage integration to improve data quality and reporting.
June 2025 monthly summary for 18F/identity-idp. Focused on enhancing data warehouse analytics by tracking deleted users, delivering measurable business value through improved data quality and reporting capabilities.
June 2025 monthly summary for 18F/identity-idp. Focused on enhancing data warehouse analytics by tracking deleted users, delivering measurable business value through improved data quality and reporting capabilities.
November 2024 — 18F/identity-idp: Delivered the Daily Sensitive Column Reporting feature and governance tooling. Implemented a daily job to identify sensitive columns by querying table/column metadata, classifying columns as sensitive or not via comments, and uploading a JSON report to S3 for governance visibility. This provides governance visibility and risk reporting groundwork for data assets. No major bugs fixed this month; focus was on delivering the feature and enabling future governance reporting. Technologies demonstrated include metadata-driven ETL, classification tagging, and cloud storage integration (S3).
November 2024 — 18F/identity-idp: Delivered the Daily Sensitive Column Reporting feature and governance tooling. Implemented a daily job to identify sensitive columns by querying table/column metadata, classifying columns as sensitive or not via comments, and uploading a JSON report to S3 for governance visibility. This provides governance visibility and risk reporting groundwork for data assets. No major bugs fixed this month; focus was on delivering the feature and enabling future governance reporting. Technologies demonstrated include metadata-driven ETL, classification tagging, and cloud storage integration (S3).

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