Worked on enhancing data quality test robustness for the tuva-health/tuva repository by updating the input_layer__medical_claim.yml configuration. Focused on improving the handling of absent bill type codes within medical claim data, the solution required a minimum unique value count of zero, ensuring that tests remained reliable even when null values were present. Leveraged YAML for configuration management and applied data quality testing principles to strengthen the integrity of medical claim analytics. This approach reduced the risk of downstream analytics errors by making the test suite more tolerant of incomplete data, reflecting a careful and methodical approach to robust test design.