Automated ETL Pipeline System
Developed automated data pipelines using Apache Airflow and Python, eliminating manual regulatory reporting
Technologies Used
PythonApache AirflowPostgreSQLMuleSoft
Architected and implemented a comprehensive ETL automation system to streamline regulatory reporting processes at Hawaiian Airlines.
System Overview
The solution automated the extraction, transformation, and loading of critical business data from multiple sources, reducing manual effort by 90% and ensuring regulatory compliance.
Technical Implementation
- Apache Airflow for orchestration and scheduling
- Python for data processing and transformation
- PostgreSQL for data warehousing
- MuleSoft for API integrations
- Docker containers for deployment
Impact
Eliminated manual regulatory reporting processes, improved data accuracy, and ensured timely compliance with aviation industry regulations.