Developed and delivered the V2 Kafka Source Connector for the Unstructured-IO/unstructured-ingest repository, enabling scalable data ingestion from Kafka sources in both local and cloud environments. The work involved implementing robust integration testing and validation mechanisms to ensure reliable streaming data intake, with updates to the changelog and versioning to support release readiness. Leveraging skills in data engineering, Docker, and Python, the connector was designed to align with the product roadmap and facilitate seamless integration with existing workflows. The approach emphasized maintainability and comprehensive test coverage, resulting in a feature that enhances the repository’s streaming ingestion capabilities without introducing regressions.