During October 2025, Mannstahl enhanced the dagster-io/dagster repository by extending the PipesDatabricksClient to support notebook_task execution, broadening orchestration capabilities beyond existing Spark and Python wheel tasks. He updated the internal _enrich_submit_task_dict logic to ensure correct parameter passing, including base_parameters, for Databricks notebook tasks. Using Python and Databricks APIs, he expanded test utilities to validate notebook execution and parameter propagation, ensuring robust end-to-end coverage. Documentation and changelogs were updated to reflect these changes. This work reduced manual configuration and enabled more flexible, notebook-driven pipelines, demonstrating depth in API integration, testing, and Databricks orchestration within a focused feature delivery.