
Over a two-month period, contributed backend enhancements to awslabs/cid-framework and aws-samples/aws-cudos-framework-deployment, focusing on AWS Athena and SQL-driven data exports. Developed CUR2 Data Exports enhancements by introducing a 'tags' column and updating the Athena schema to support map<string,string> tagging, enabling more granular billing data analysis. In the following month, implemented comprehensive Account Tags support from the CUR Tags column, adding safety checks and improving tag cardinality display for dashboard readiness. Leveraged Python, SQL, and YAML to extend schema handling, improve error management, and enhance data presentation, supporting robust tagging discovery and cost attribution workflows across AWS environments.
February 2026 monthly highlights for repo aws-samples/aws-cudos-framework-deployment. Focused on delivering robust Account Tags support from CUR Tags column, strengthening data discovery and dashboard readiness for CID workflows.
February 2026 monthly highlights for repo aws-samples/aws-cudos-framework-deployment. Focused on delivering robust Account Tags support from CUR Tags column, strengthening data discovery and dashboard readiness for CID workflows.
January 2026: Delivered CUR2 Data Exports enhancements in awslabs/cid-framework. Introduced a new 'tags' column for CUR2 data exports and updated the Athena table schema to support tagging data as map<string,string>, aligning with AWS CUR2 specifications. Version bumped to v0.9.0 to reflect the feature addition. These changes enable detailed tagging for billing data analysis and improve downstream cost visibility and analytics across export/query layers.
January 2026: Delivered CUR2 Data Exports enhancements in awslabs/cid-framework. Introduced a new 'tags' column for CUR2 data exports and updated the Athena table schema to support tagging data as map<string,string>, aligning with AWS CUR2 specifications. Version bumped to v0.9.0 to reflect the feature addition. These changes enable detailed tagging for billing data analysis and improve downstream cost visibility and analytics across export/query layers.

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