{"repo":"andre-salvati/databricks-template","free":true,"listed":false,"github":"https://github.com/andre-salvati/databricks-template","clone":"git clone https://github.com/andre-salvati/databricks-template.git","description":"Production-ready PySpark ETL template for Databricks — medallion architecture, DABs, tests, DQX, CI/CD, and agentic development with Claude Code.","language":"Python","stars":82,"topics":["data-engineering","databricks","github-actions","pyspark","medallion-architecture","unity-catalog","databricks-asset-bundles","apache-spark","databricks-cli","databricks-sdk"],"license":"Apache-2.0","category":"data-pipelines","readme_excerpt":"Databricks PySpark ETL Template — production-ready pipelines, built agentically with Claude Code 🚀 Overview Stop spending weeks on boilerplate. This PySpark project template for Databricks gives you medallion architecture, Python packaging, unit + integration + load tests, CI/CD, DQX data quality, service-principal-based production deploys, and much more — all wired together and ready to ship. Whether you're starting a new Databricks ETL project or looking for a reference implementation of production-ready PySpark pipelines, fork this and go. If this saves you time, a star helps others find it. Let's connect on LinkedIn. 🧪 Technologies - Databricks Free Edition (Serverless) - Databricks Runtime 18.0 LTS - Databricks Unity Catalog - Databricks Declarative Automation Bundles (former Asset Bundles) - Databricks CLI - Databricks Python SDK - Databricks DQX - Databricks AI Dev Kit - Databricks Dashboards - Claude Code - PySpark 4.1 - Spark Declarative Pipelines (SDP) - Python 3.12 - GitHub Actions - Pytest 📦 Features This project template demonstrates how to: - use agentic development (with Databricks AI Dev Kit and Claude Code) in data projects. The template ships with a CLAUDE.md and a specs/ folder documenting the project's conventions. - structure PySpark code inside classes/packages, deploy it as a Python wheel (instead of notebooks), and manage the project with uv. - package and deploy code with Declarative Automation Bundles to different environments (dev, staging, prod)","default_branch":null,"files":null,"tree":[],"storefront":"/r/andre-salvati","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/andre-salvati/databricks-template/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}