andre-salvati/databricks-template

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# Databricks PySpark ETL Template — production-ready pipelines, built agentically with Claude Code

![Databricks](https://img.shields.io/badge/platform-Databricks-orange?logo=databricks)
![PySpark](https://img.shields.io/badge/pyspark-4.1+-brightgreen?logo=apache-spark)
![CI/CD](https://img.shields.io/github/actions/workflow/status/andre-salvati/databricks-template/.github/workflows/onpush.yml)
![Claude Code](https://img.shields.io/badge/agentic-Claude%20Code-8A2BE2)
![License](https://img.shields.io/badge/license-Apache%202.0-blue)
![Stars](https://img.shields.io/github/stars/andre-salvati/databricks-template?style=social)

## 🚀 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](https://www.linkedin.com/in/andresalvati/).

## 🧪 Technologies

- Databricks Free Edition (Serverless)
- Databricks Runtime 18.0 LTS
- Databricks Unity Catalog

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