Shigeru Hanada is a Data Analytics Consultant with 14 years of hands-on experience in databases and cloud analytics, currently helping customers at AWS from Chiyoda, Japan. He combines deep expertise in C/C++, Perl, SQL and DBA work across PostgreSQL, Oracle and Redshift with practical knowledge of AWS analytics services such as Kinesis, QuickSight and Amazon OpenSearch. A long-time contributor to PostgreSQL (notably work on FDW and the pg_hint_plan extension), he brings both open-source craftsmanship and production-grade operational experience. His background includes internal SME training and certification for Redshift, reflecting a mix of technical depth and knowledge transfer. Trained originally in industrial design, he has a pragmatic, systems-oriented approach to solving complex data problems and improving developer tooling.
14 years of coding experience
27 years of employment as a software developer
Bachelor, Industrial Design, Bachelor, Industrial Design at Chiba Institute of Technology
Extension adding support for optimizer hints in PostgreSQL
Role in this project:
Backend Developer & Database Engineer
Contributions:94 commits in 1 year 8 months
Contributions summary:Shigeru primarily focused on improving the codebase for the `pg_hint_plan` extension for PostgreSQL. Their work involved refactoring and improving code comments, removing legacy C++-style comments, and streamlining build procedures. They also addressed a bug related to error handling during GUC parameter setting, ensuring the stability of the extension. Furthermore, the user made documentation improvements, including organizing the structure and improving the description of the hint system.
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