Rabee enhanced the tuva-health/tuva repository by extending core data models to support custom extension columns, enabling more flexible analytics for downstream consumers. Using SQL and dbt, Rabee introduced new macros for selecting extension columns and performing column-aligned unions, refactoring both staging and final models to integrate these features. The work included hardening the semantic layer against missing claims data by adding conditional guards and synthetic columns, which improved model robustness and reduced runtime errors. Standardizing SQL patterns and centralizing type casting further increased maintainability, while expanded test coverage ensured reliability. This work demonstrated strong depth in data modeling and analysis.