During March 2025, Deepak Yadav enhanced data transformation capabilities and API compatibility across the snowflakedb/snowpark-python and xupefei/spark repositories. He implemented Spark API compatibility for the apply_in_pandas method in Snowpark, addressing Spark-specific data structures and column naming to ensure seamless integration, and added targeted tests for grouped data behavior. Deepak also expanded pivot functionality to support multiple aggregate functions with GROUPBY, adopting a JOIN-based approach for result composition and improving error handling. In xupefei/spark, he improved test reliability by correcting teardown cleanup logic. His work demonstrated strong proficiency in Python, SQL, data engineering, and robust testing practices.