Worked on the Shopify/discovery-apache-beam repository to deliver windowing support for the Dask runner, enabling correct handling of windowed data in distributed data processing pipelines. Refactored the Dask runner to consistently apply windowing logic across Dask operations, addressing challenges with side inputs and grouped data to improve correctness and reliability. Enhanced compatibility with Apache Beam’s windowing features, allowing more robust and flexible windowed pipelines within the Shopify discovery stack. The work was implemented using Python and leveraged expertise in distributed systems and data processing, focusing on maintainability and integration with existing Beam and Dask capabilities over the course of the month.