Developed a Healthcare Data Semantic Layer Datamart for the tuva-health/tuva repository, introducing new dimension and fact tables to improve data accessibility and support robust analytics. Focused on dimensional modeling and semantic layer design, the work established a foundation for standardized reporting and enhanced business intelligence readiness within healthcare data workflows. Leveraging SQL and data warehousing techniques, the implementation enables faster insights and more reliable decision-making by integrating disparate data sources into a unified structure. The changes also laid groundwork for improved data governance and metric standardization, demonstrating proficiency in ETL processes, analytics, and version control throughout the development cycle.