In our recent project with RoadAthena, we were tasked with handling dynamic road and asset data using Django. The goal was to create a seamless API pipeline that could fetch, analyze, and summarize road information in real time. We leveraged Django's model-view-serializer architecture to build clean and testable endpoints, added retry mechanisms for data reliability, and structured JSON-based reporting for post-processing. This helped us generate Excel summaries, anomaly logs, and UPC-based insights, all without manual intervention. The highlight? A self-healing system that retries on API failures, ensures anomaly counts are accurate, and keeps everything logged neatly.