ETL Pipeline
Data EngineeringData engineering pipeline for extraction, transformation, and loading workflows
PythonJupyterPandasETL
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Highlights
- Modular pipeline architecture
- Configurable transformation steps
- Multiple data source connectors
No live demo available
About This Project
Modular data engineering framework implementing ETL best practices. Supports multiple data sources, configurable transformation steps, and various output targets. Built with extensibility in mind for different data processing scenarios.
Key Features
Modular pipeline architecture
Configurable transformation steps
Multiple data source connectors