Data Pipeline Toolkit

Create, schedule, and monitor ETL pipelines extracting from APIs, databases, files, and streams, with transform and load support to warehouses and APIs.

Build ETL pipelines in minutes.

Features

• Extract - APIs, databases, files, streams
• Transform - Clean, filter, aggregate, join
• Load - Data warehouses, databases, APIs
• Scheduling - Cron-based or event-driven
• Monitoring - Alerts on failures

Quick Start

bash

# Create pipeline
./pipeline.sh create my-pipeline

# Add extract step
./pipeline.sh extract my-pipeline api --url https://api.example.com

# Add transform
./pipeline.sh transform my-pipeline filter "age > 18"

# Add load
./pipeline.sh load my-pipeline postgres --connection $DB_URL

# Run
./pipeline.sh run my-pipeline

Sources

• REST APIs
• GraphQL
• SQL Databases
• CSV/JSON/Parquet files
• S3/Google Cloud Storage
• Kafka/SQS

Destinations

• PostgreSQL/MySQL
• Snowflake/BigQuery
• S3
• APIs
• Data warehouses

Requirements

• Python 3.8+
• Docker (optional)

Author

Sunshine-del-ux