etl-pipeline
Build end-to-end ETL pipelines — extract from APIs/databases, transform, validate, and load into data warehouses.
Works with
--- name: etl-pipeline description: Build end-to-end ETL pipelines — extract from APIs/databases, transform, validate, and load into data warehouses. license: MIT --- # ETL Pipeline ## Overview Build end-to-end ETL pipelines — extract from APIs/databases, transform, validate, and load into data warehouses. ## When to Use This Skill Use **ETL Pipeline** when you need to: - Work with etl pipeline tasks in your project or workflow - Automate etl pipeline operations at scale - Generate production-quality etl pipeline output quickly ## Instructions When this skill is active, Claude will: 1. Understand the full context of your etl pipeline request 2. Apply best practices and conventions for Data & Analytics 3. Produce clean, well-structured, production-ready output 4. Explain key decisions and offer alternatives where relevant ## Examples ### Example 1 — Basic Usage **User:** Help me get started with etl pipeline. **Claude:** I'll walk you through the essential steps for etl pipeline in your context... ### Example 2 — Advanced Usage **User:** I need a production-ready etl pipeline setup with full error handling. **Claude:** Here's a complete, production-hardened etl pipeline implementation... ## Guidelines - Always validate inputs before processing - Follow the conventions of the target platform or language - Prefer explicit over implicit — clarity beats cleverness - Include comments for non-obvious logic - Suggest tests or validation steps where appropriate ## Dependencies Required: python, airflow, dbt ## Platforms Available on: claude-code, api --- *Part of the [claude-skills](https://github.com/inbharatai/claude-skills) collection — 183+ skills for Claude.*
More Data Engineering skills
data-pipeline
claude-office-skills/skills
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
ETL Pipeline
claude-office-skills/skills
Design and automate Extract, Transform, Load data pipelines for data integration and analytics
data-throughput-accelerator
affaan-m/ecc
Use when large data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, or table synchronization needs to become much faster while preserving data correctness.

