
Contributed to the Hyubbbb/Daily_SQL repository by developing two SQL data extraction scripts focused on animal intake analytics. The work involved creating maintainable SQL queries to retrieve animal IDs, names, intake sex, and neutered status, with careful attention to data ordering and traceability through version control. These scripts improved the efficiency and reliability of data retrieval for business intelligence dashboards, supporting downstream analytics on animal intake flows. The approach demonstrated proficiency in SQL scripting, file-based data extraction, and repository management. No bug fixes were recorded during this period, with the primary focus on delivering new, targeted data extraction features.
October 2024 monthly summary for Hyubbbb/Daily_SQL. Delivered two SQL data extraction scripts to surface animal intake data and neutered status, enabling targeted analytics and reporting. The changes are encapsulated in two SQL files with a traceable commit (254d0473ae7ec49d9434e8c5836a07a595fd2f96). Impact: improved data retrieval efficiency and reliability for BI dashboards; supported downstream analytics on animal intake flows. Technologies demonstrated include SQL scripting, file-based data extraction, and version control.
October 2024 monthly summary for Hyubbbb/Daily_SQL. Delivered two SQL data extraction scripts to surface animal intake data and neutered status, enabling targeted analytics and reporting. The changes are encapsulated in two SQL files with a traceable commit (254d0473ae7ec49d9434e8c5836a07a595fd2f96). Impact: improved data retrieval efficiency and reliability for BI dashboards; supported downstream analytics on animal intake flows. Technologies demonstrated include SQL scripting, file-based data extraction, and version control.

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