Worked on enhancing data quality assurance in the databrickslabs/dqx repository by addressing a bug related to dataset-level rule evaluation. Focused on the serialization and deserialization of the row_filter parameter, ensuring that filters are correctly handled and pushdown is preserved when supported by the check function. Utilized Python to implement the fix, incorporating both unit and integration testing to validate correctness and reliability. Collaborated closely with other contributors throughout the process. This work improved the stability of data validation workflows, reduced edge-case failures, and contributed to more reliable downstream data pipelines by strengthening dataset-level data quality checks.