Worked on the apache/flink repository to enhance PyFlink’s SQL capabilities by enabling the to_timestamp_ltz function to accept dynamic expressions as arguments, rather than being limited to literals. This required updating the expression generation logic in Python to support more flexible and dynamic timestamp conversions within PyFlink SQL queries. The work included developing comprehensive tests to ensure the new behavior functioned correctly and to prevent regressions. Leveraging skills in Data Engineering, PyFlink, and SQL, this contribution advanced PyFlink’s usability and aligned with the goals of FLINK-38319, focusing on robust feature delivery and careful validation within a one-month period.