API platform for Bombardier.

The challenge

Bombardier's data-processing workflows depended on a sprawl of scripts and ad-hoc integrations. As volumes grew, system errors and performance regressions became routine. The team needed a clean API surface — well-tested, documented, and capable of handling diverse file formats and folder structures dynamically.

The approach

• Django REST Framework as the backbone. Built 20+ APIs covering data ingestion, transformation, and read access — designed to be composable and easy to extend.
• Lambda functions for file processing. Handlers that adapted dynamically to folder structures and varied file formats — no manual reconfiguration per source.
• Parser-and-loader pattern. Engineered parser functions to extract data from files and integrate seamlessly with the database layer.
• Bug elimination first. Refined and streamlined existing code, reducing system errors by 30% before adding new functionality.
• 100% unit test coverage. Every API path covered with Pytest — turning a fragile pipeline into one the team could refactor with confidence.

The outcome

Application performance improved by 25%, and the platform became something the team could ship to confidently — refactors that previously took weeks were landing safely in days.

Tech stack

Engagement delivered while employed at Randstad. Bombardier is a trademark of Bombardier Inc.; Randstad is a trademark of Randstad N.V. References here describe prior employment work and do not imply any current relationship between Abhishree Labs and Bombardier or Randstad.