Worked on the NVIDIA/nv-ingest repository to deliver BIRD Benchmark Database Integration, enabling full-dataset querying through DuckDB and streamlining installation with new setup scripts. Leveraged Python and data engineering skills to automate the loading and management of BIRD databases, broadening the benchmarking portfolio by incorporating Spider2 and BIRD benchmarks. This approach improved the usability and reproducibility of benchmarking workflows, allowing for faster and more reliable performance validation. The work focused on database management and benchmarking automation, enhancing onboarding and documentation to support efficient evaluation processes. No bugs were fixed during this period, with efforts concentrated on feature development and workflow improvements.