by andre-salvati · Claude Skill · ★ 65
databricks-template A production-ready PySpark project template with medallion architecture, Python packaging, unit tests, integration tests, coverage tests, CI/CD automation, Declarative Automation Bundles, and DQX data quality framework. 🚀 Overview This project template is designed to boost productivity and promote maintainability when developing ETL pipelines on Databricks. It aims to bring software engineering best practices—such as modular architecture, automated unit and integration testing, and CI/CD—into the world of data engineering.
| Stars | 65 |
| Forks | 30 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 39.61/100 |
| Last Updated | 2026-05-15 |
| Created | 2023-12-23 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~119k |
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databricks-template is A production-ready PySpark project template with medallion architecture, Python packaging, unit tests, integration tests, CI/CD automation, Databricks Asset Bundles, and DQX data quality framework.. It is categorized as a Claude Skill with 65 GitHub stars.
databricks-template is primarily written in Python. It covers topics such as apache-spark, claude-code, data-engineering.
You can find installation instructions and usage details in the databricks-template GitHub repository at github.com/andre-salvati/databricks-template. The project has 65 stars and 30 forks, indicating an active community.