Vaibhav K.T. developed a feature for the ClickHouse/clickhouse-go repository that enables scanning of DateTime and DateTime64 columns directly into int64 Unix timestamps within Go applications. He updated the ScanRow methods to support this new data type handling, ensuring seamless conversion from database values to Go-native types. The implementation included comprehensive test coverage to validate the correctness of Unix timestamp extraction and to guard against regressions. Working primarily with Go and SQL, Vaibhav focused on database driver enhancements, delivering a targeted solution that improves data interoperability for developers using ClickHouse with Go, demonstrating depth in both technical execution and testing.