Building Scalable ETL Pipelines

ETL (Extract, Transform, Load) pipelines are crucial for data engineering. Here's how to build them effectively:

Pipeline Architecture

• Source data validation
• Transformation logic
• Error handling
• Performance optimization

Implementation Tips

Consider these factors when building ETL pipelines:

• Incremental processing
• Data quality checks
• Monitoring and alerting
• Documentation