Developed a hands-on onboarding solution for Databricks DQX by creating a Quick Start Demo Notebook in the databrickslabs/dqx repository. This notebook, implemented in Python and YAML within VS Code, showcased data quality checks using sample data and demonstrated rule application through both apply_checks_by_metadata and apply_checks_by_metadata_and_split functions. The work focused on accelerating onboarding and enabling new users to test DQX features end-to-end in their own environments. By strengthening documentation and providing practical learning materials, the contribution improved customer adoption and supported data quality workflows, emphasizing notebook development and metadata-driven validation techniques in a Databricks context.