
Stephanie Lu developed an end-session workflow for the uoftblueprint/brampton-tennis-queue repository, focusing on accurate court availability and reliable queue management. She implemented an endSession API endpoint using Node.js, Express.js, and Firebase, enabling clean session termination for players at specific locations. Rather than deleting records, her approach used non-destructive updates to preserve player history and maintain accurate court state, supporting future enhancements to queue advancement. By marking players as not waiting and retaining placeholder data, Stephanie ensured that court tracking remained consistent. Her work demonstrated a thoughtful approach to backend development, addressing both data integrity and extensibility within the system.

Month 2024-11 – Brampton Tennis Queue: Delivered an end-session workflow and non-destructive data handling to maintain accurate court availability. This work enables clean session termination at a location and preserves history, supporting reliable queue management and downstream features.
Month 2024-11 – Brampton Tennis Queue: Delivered an end-session workflow and non-destructive data handling to maintain accurate court availability. This work enables clean session termination at a location and preserves history, supporting reliable queue management and downstream features.
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