Data Pipeline Builder
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
Your data lives in 5 different systems and getting it into one place for analysis means a brittle chain of manual exports, Python scripts, and cron jobs that break every other week.
Who it's for: data engineers building integration workflows, analytics teams connecting data sources, startups setting up their first data infrastructure, BI teams automating report pipelines, companies migrating from manual data processes
Example
"Build an ETL pipeline from our Stripe and HubSpot data into PostgreSQL" → Extract, transform, load workflows with scheduling, error handling, data validation, and incremental loading — based on proven n8n workflow patterns
CLAUDE.md Template
New here? 3-minute setup guide → | Already set up? Copy the template below.
npx ccplaybooks add data-pipeline# Data Pipeline
Build data pipelines and ETL workflows for data integration, transformation, and analytics automation. Based on n8n's data workflow templates.
## Overview
This workflow covers:
- Data extraction from multiple sources
- Transformation and cleaning
- Loading to destinations
- Scheduling and monitoring
- Error handling and alertsGet new playbooks like this one
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What This Does
Build data pipelines and ETL workflows for data integration, transformation, and analytics automation. Based on n8n's data workflow templates.
Quick Start
Step 1: Create a Project Folder
mkdir -p ~/Documents/DataPipeline
Step 2: Download the Template
Click Download above, then:
mv ~/Downloads/CLAUDE.md ~/Documents/DataPipeline/
Step 3: Start Working
cd ~/Documents/DataPipeline
claude