During their work on the rapid7/iceberg repository, Bharath Anand developed and modernized the Flink RowConverter integration to streamline streaming data ingestion between Apache Iceberg and Apache Flink. Leveraging Java and deep data engineering expertise, Bharath implemented a new RowConverter for the Flink Iceberg source, enabling efficient direct conversion of Iceberg data to Flink Row types. The approach included comprehensive test coverage across multiple data formats and table configurations, ensuring robust and reliable streaming integration. By adopting a stream-based mapping and ExternalTypeInfo, Bharath improved compatibility with newer Flink versions and reduced type-handling errors, demonstrating strong technical depth in distributed data systems.