ETL Data Pipeline Builder
An ETL pipeline builder with data source connectors, transformation steps, destination configuration, and pipeline scheduling. Supports CSV, API, and database sources with data validation, error ha...
Target user
Data engineers who build and maintain ETL pipelines
Problem
Data engineers need a configurable ETL pipeline tool with source connectors, transformations, and scheduling without writing custom scripts for each data integration task.
Requirements
- Configure data source connectors
- Build transformation step chains
- Set destination with mapping
- Schedule pipeline execution
- Monitor execution and handle errors
Core technologies
Python, FastAPI, SQLAlchemy
Completion criteria
Users can build ETL pipelines with sources, transformations, destinations, scheduling, and monitoring.
Optional extensions
- Add data quality checks
- Implement pipeline versioning
- Add alerting system
- Support streaming pipelines
Project phases
Phase 1: Phase 1: Source Connectors
Tasks: Set up FastAPI project, Build CSV source connector, Add API source connector, Implement database source connector
Phase 2: Phase 2: Transformations and Destination
Tasks: Build transformation step framework, Implement common transformations, Create destination configuration, Add data validation
Phase 3: Phase 3: Scheduling and Monitoring
Tasks: Implement pipeline scheduling, Add execution monitoring dashboard, Create error notification, Build pipeline configuration UI