Madhu Veerabattini

Specialist @ZF Group

Hyderabad, IN

Project: Predictive Maintenance, Health Monitoring• Designed and implemented scalable backend services in Python, optimizing data processing, storage, and retrieval using Azure Blob Storage, MongoDB, and Azure Queues. • Developed RESTful APIs with FastAPI, integrating middleware, custom exception handling, and SSE for real-time, seamless client interactions. • Built high-performance, real-time data pipelines, processing millions of messages over MQTT, decoding and storing structured data in Azure Blob Storage for further analysis. • Engineered containerized microservices with Docker, deploying high-availability solutions on Telekom Cloud for efficient MQTT-based data ingestion. • Strengthened code reliability through extensive Pytest coverage, proactively identifying and resolving issues to enhance maintainability. • Contributed to planning new backend implementations, focusing on scalable architecture, risk mitigation, and preemptive solutions to support smooth release cycles.

University of Mumbai

Bachelor of Engineering - BE, Electronics and Telecommunication