Data Synchronization & ETL Pipeline

Build robust data pipelines to extract, transform, and load data between different systems. Includes error handling, data validation, and monitoring for reliable data operations.

Key Features

• Multi-source extraction - Extract data from various sources (APIs, databases, files)
• Data transformation - Clean, validate, and transform data as needed
• Error handling - Robust error handling and retry mechanisms
• Data validation - Ensure data quality and integrity
• Monitoring & logging - Track pipeline performance and issues

Requirements

• Source and destination systems
• Data transformation tools
• Monitoring and logging system

Workflow Steps

1. Extract data - Pull data from source systems
2. Validate data - Check data quality and completeness
3. Transform data - Clean and format data as required
4. Load data - Insert data into destination systems
5. Verify results - Confirm successful data transfer
6. Log operations - Record all operations and results