A US Airline Group Automated Flight Data Processing Using Metadata-Driven Pipeline on Azure and Databricks
Overview
A leading airline group in the United States, managing complex flight operations across multiple hubs, sought to streamline flight attendant (FA) boarding pay calculations and regulatory compliance through scalable data automation.
The airline faced significant challenges in managing large-scale operational data and ensuring accuracy in compensation and reporting:
Ingesting and processing complex JSON datasets from multiple flight operation sources was inefficient and error-prone.
Manual data transformation delayed FA boarding pay and recovery calculations.
Lack of optimized preparation tables and scalable pipelines led to poor performance and decision-making delays.
Inaccurate tracking of boarding events affected fair compensation and compliance reporting.
Raw, unstandardized data needed to be transformed into analytics-ready formats to ensure consistency and reduce compliance risks.
Solution
Coforge designed a robust, metadata-driven data pipeline using Databricks and Azure Data Lake, enabling automation, scalability, and performance improvement through a layered architecture:
Landing Zone: Ingested raw JSON data from multiple operational sources.
Raw Layer: Secured and stored data in Azure Data Lake.
Struct Layer: Applied schema enforcement and structured transformations
Prep Layer: Incorporated business rules and data refinements.
Packaged Layer: Prepared optimized analytics, reporting, and compliance datasets.
Analytics & Reporting Layer: Delivered insights for FA boarding pay and compliance management.
Ensured scalability, reliability, and high performance with reduced manual efforts and improved data-driven decision-making.
The Impact
Automated Data Processing: Reduced manual intervention with structured pipelines.
Scalability & Performance: Enabled efficient processing of large-scale JSON datasets.
Improved Accuracy: Achieved data consistency through structured transformations.
Enhanced Insights: Delivered analytics-ready data for FA boarding pay and compliance reporting.
