
Worked on the awslabs/aws-athena-query-federation and awslabs/mcp repositories, delivering features and fixes that improved data federation, reliability, and security across AWS services. Built Substrait-based query federation and enhanced JDBC connector integration using Java and SQL, enabling cross-source analytics with robust credential handling. Addressed schema consistency and pagination issues for DynamoDB and partitioned tables, and implemented encryption key derivation improvements for custom KMS scenarios. Expanded AWS Glue Data Catalog connectivity in awslabs/mcp, adding connection testing, batch deletion, and better error handling. Collaborated across teams, contributed to documentation, and focused on backend development, API integration, and data processing workflows.
June 2026 monthly summary for developer work on awslabs/aws-athena-query-federation. Focused on hardening encryption key management by implementing a request override configuration to derive the encryption key from the request context, improving correctness and flexibility across metadata handlers for various database connectors.
June 2026 monthly summary for developer work on awslabs/aws-athena-query-federation. Focused on hardening encryption key management by implementing a request override configuration to derive the encryption key from the request context, improving correctness and flexibility across metadata handlers for various database connectors.
In April 2026, delivered AWS Glue Data Catalog Connectivity Enhancements in awslabs/mcp, elevating reliability and manageability of Glue connections. Implemented testing of connections, batch deletion, and improved error messaging; updated docs to cover discovery and metadata exploration, aligning with mainline.
In April 2026, delivered AWS Glue Data Catalog Connectivity Enhancements in awslabs/mcp, elevating reliability and manageability of Glue connections. Implemented testing of connections, batch deletion, and improved error messaging; updated docs to cover discovery and metadata exploration, aligning with mainline.
March 2026 monthly summary for the AWS Athena Federated Query project focused on Substrait-Calcite integration and JDBC credentials improvements. Delivered high-impact features with clear business value and demonstrated strong technical execution.
March 2026 monthly summary for the AWS Athena Federated Query project focused on Substrait-Calcite integration and JDBC credentials improvements. Delivered high-impact features with clear business value and demonstrated strong technical execution.
February 2026 monthly work summary for aws-athena-query-federation focused on reliability and performance. Implemented a critical stability improvement by enforcing a maximum page size of 100 for DynamoDB listing requests to prevent unbounded pagination and potential performance issues. The change was delivered as a bug fix with a targeted commit and cross-team collaboration.
February 2026 monthly work summary for aws-athena-query-federation focused on reliability and performance. Implemented a critical stability improvement by enforcing a maximum page size of 100 for DynamoDB listing requests to prevent unbounded pagination and potential performance issues. The change was delivered as a bug fix with a targeted commit and cross-team collaboration.
January 2026 monthly summary for awslabs/aws-athena-query-federation: Implemented Substrait-based query federation and credential federation for JDBC connectors, enabling federated queries with enhanced schema retrieval and new Substrait types/values handling classes. This work is captured in commit 6b72d1493504d73dda6fb75a81b85d780ef1f5bf and involved cross-team collaboration (co-authored by Leo Yan, ejeffrli, AbdulRehman). No major bugs were reported this month. Impact: accelerates analytics across JDBC-connected sources, reduces data movement, and strengthens interoperability; demonstrates proficiency with Substrait, credential handling, and JDBC connector integration.
January 2026 monthly summary for awslabs/aws-athena-query-federation: Implemented Substrait-based query federation and credential federation for JDBC connectors, enabling federated queries with enhanced schema retrieval and new Substrait types/values handling classes. This work is captured in commit 6b72d1493504d73dda6fb75a81b85d780ef1f5bf and involved cross-team collaboration (co-authored by Leo Yan, ejeffrli, AbdulRehman). No major bugs were reported this month. Impact: accelerates analytics across JDBC-connected sources, reduces data movement, and strengthens interoperability; demonstrates proficiency with Substrait, credential handling, and JDBC connector integration.
December 2025: Delivered Substrait Federation Plan Query Support for awslabs/aws-athena-query-federation, enabling federation requests for Substrait plan queries and cross-source query processing. This milestone expands interoperability across federated data sources and lays groundwork for future Substrait-based workloads.
December 2025: Delivered Substrait Federation Plan Query Support for awslabs/aws-athena-query-federation, enabling federation requests for Substrait plan queries and cross-source query processing. This milestone expands interoperability across federated data sources and lays groundwork for future Substrait-based workloads.
Month: 2025-10 — Focused on reliability and data integrity for the awslabs/aws-athena-query-federation repo. Delivered a critical bug fix to the table layout retrieval path to ensure partition column is always included in the retrieved schema, reducing query errors and inconsistencies for partitioned tables. This work enhances user trust and stability in cross-repo data federation scenarios and lowers support/regression risk.
Month: 2025-10 — Focused on reliability and data integrity for the awslabs/aws-athena-query-federation repo. Delivered a critical bug fix to the table layout retrieval path to ensure partition column is always included in the retrieved schema, reducing query errors and inconsistencies for partitioned tables. This work enhances user trust and stability in cross-repo data federation scenarios and lowers support/regression risk.

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