Developed Lance data sink support for the dentiny/ray repository, enabling Ray datasets to be written directly to the Lance format. This work introduced the LanceDatasink and enhanced Dataset.write_lance to support create, append, and overwrite modes, along with configurable file options for flexible storage management. The feature focused on seamless integration with LanceDB, improving data interchange and supporting scalable, efficient data pipelines. Leveraging expertise in Python, data engineering, and distributed systems, the implementation reduced friction in exporting datasets and optimized storage costs. The month’s efforts centered on feature delivery and integration, with no major bug fixes addressed during this period.