Tembici - Fleet Management Platform
Project Overview
- Served as a core Python developer architecting a greenfield backend system using Python, Django, and Django Rest Framework to manage the entire lifecycle of a proprietary e-bike fleet.
- Engineered a microservices ecosystem to replace legacy monolithic structures, utilizing RabbitMQ, Google Cloud Pub/Sub, and Celery for asynchronous tasks and real-time event processing to ensure sub-second latency for IoT device commands via MQTT.
- Designed a complex integration layer to bridge the new system with a third-party legacy fleet using optimized SQL and Redis caching.
- Orchestrated integrations with internal distributed systems (User Identity and Payments) and implemented BFF (Backend For Frontend) patterns to aggregate data from multiple RESTful APIs.
- Managed containerized application deployments using Docker and Kubernetes on Google Cloud Platform (GCP).