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.

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.

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.