databricks-data-engineering

Community

Build robust medallion data pipelines.

Authorandregit2026
Version1.0.0
Installs0

System Documentation

What problem does it solve?

The skill provides a framework for building production-grade data pipelines using the medallion architecture (Bronze/Silver/Gold) in Databricks, covering ingestion, transformation, quality checks, Delta Lake optimization, and orchestration to accelerate reliable analytics.

Core Features & Use Cases

  • End-to-end medallion pipeline design: Bronze layer for raw ingestion, Silver layer for cleaned and validated data, and Gold layer for business-ready analytics.
  • Delta Lake optimization, schema evolution, and idempotent upserts for reliable data pipelines.
  • Orchestration of multi-stage notebooks and workflows, with automated quality checks and scalable performance.
  • Use cases include ETL/ELT data ingestion, incremental processing, and analytics dashboards powered by clean, trusted data.

Quick Start

Set up a three-layer medallion pipeline (Bronze-Silver-Gold) to ingest, clean, and model data, then run the deployment workflow.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: databricks-data-engineering
Download link: https://github.com/andregit2026/Databricks_DQ_Business/archive/main.zip#databricks-data-engineering

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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