Azure IoT Developer
Years of Exp.
1. Azure IoT Hub and Device Provisioning Service (DPS) Expertise
2. Azure IoT Edge Deployment and Configuration
3. Azure IoT Central Customization and Implementation
4. Azure IoT Solution Architecture and Design
5. Azure Stream Analytics for Real-time Data Processing
6. Azure Functions for IoT Device Communication
7. Advanced Azure IoT Device SDK Development (C, C++, Python)
8. Device-to-Cloud (D2C) and Cloud-to-Device (C2D) Messaging Protocols
9. MQTT, AMQP, and HTTP Protocol Proficiency
10. Azure IoT Hub Monitoring and Troubleshooting
11. Azure IoT Security and Identity Management
14. IoT Edge Deployment using Kubernetes and Docker
- 1. Designed end-to-end IoT solutions using Azure services for clients, ensuring seamless integration and scalability.
2. Developed IoT device applications using programming languages such as C, C++, Python, and Node.js.
3. Implemented secure device-to-cloud communication using MQTT, AMQP, HTTP, and CoAP protocols.
4. Integrated IoT devices with Azure IoT Hub for remote device management, provisioning, and monitoring.
5. Configured message routing and processing pipelines to handle real-time data streams from IoT devices.
6. Created and Implemented Azure IoT Edge modules to enable edge computing capabilities in distributed environments.
7. Implemented security measures like device authentication, data encryption, and secure communication protocols.
8. Collaborated with data engineers to process and analyse IoT-generated data using Azure Stream Analytics and Azure Functions.
9. Utilized Azure Machine Learning to develop and deploy predictive models for anomaly detection and predictive maintenance.
10. Ensured compliance with IoT security standards and best practices, addressing potential vulnerabilities in IoT deployments.
11. Automated device provisioning and lifecycle management using Azure IoT Device Provisioning Service.
12. Worked closely with solution architects to design and develop custom IoT solutions tailored to specific client requirements.
13. Collaborated with cross-functional teams to integrate IoT solutions with existing enterprise systems and databases.
14. Conducted thorough debugging and troubleshooting of IoT deployments, resolving issues related to connectivity and data flow.
15. Implemented containerized solutions using Docker to package and deploy applications across IoT devices.
16. Provided technical guidance and training to junior developers and team members on Azure IoT development practices.
17. Stay updated with the latest developments in Azure IoT technologies and recommend innovative solutions to clients.
18. Participated in code reviews to maintain high-quality standards and ensure optimal performance of IoT applications.
19. Designed and maintained documentation including architecture diagrams, code documentation, and deployment guides.
20. Collaborated with project managers to ensure timely delivery of IoT projects, meeting client expectations and milestones.
Smart Agriculture Monitoring System
1. Developed an end-to-end IoT solution for a smart agriculture project using Azure IoT services.
2. Designed and implemented an artwork of IoT devices deployed across fields to monitor soil moisture, temperature, and humidity levels.
3. Integrated IoT devices with Azure IoT Hub to securely transmit sensor data to the cloud for real-time analysis.
4. Created Azure Stream Analytics jobs to process incoming data streams and trigger alerts for irrigation based on predefined thresholds.
5. Utilized Azure Functions to automate alerts and notifications to farmers' mobile devices for timely intervention.
6. Implemented a custom web dashboard using Azure Web Apps and Power BI to visualize and monitor field conditions remotely.
7. Ensured data security by implementing end-to-end encryption, device authentication, and secure communication protocols.
Industrial Predictive Maintenance Solution
1. Led the development of an industrial predictive maintenance solution leveraging Azure IoT services.
2. Collaborated with data engineers to ingest sensor data from machinery into Azure IoT Hub for analysis.
3. Integrated Azure Machine Learning to build predictive models that detect equipment anomalies and impending failures.
4. Designed and deployed Azure IoT Edge modules on factory floor devices to enable real-time data processing.
5. Implemented a centralized dashboard using Azure Time Series Insights to provide insights into machinery performance and maintenance needs.
6. Configured Azure Logic Apps to trigger work orders and notifications for maintenance teams based on predictive insights.
7. Achieved a 20% reduction in unplanned downtime, resulting in increased production efficiency and significant cost savings.
Connected Vehicle Monitoring Platform
1. Spearheaded the development of a connected vehicle monitoring platform using Azure IoT services.
2. Integrated IoT devices within a fleet of vehicles to capture telemetry data including GPS location, speed, and engine diagnostics.
3. Implemented Azure IoT Edge for edge processing of critical vehicle data, enabling real-time alerts and insights.
4. Designed a serverless architecture using Azure Functions to process and route data to appropriate backend systems.
5. Utilized Azure Cosmos DB to store and manage vast amounts of telemetry data for historical analysis.
6. Developed a web-based application using Azure App Service and Angular to provide fleet managers with real-time vehicle tracking and performance insights.
7. Improved fleet efficiency by 15% through optimized route planning, reduced fuel consumption, and proactive maintenance scheduling.
BCom, Abeda Inamdar Senior College
Microsoft Certified: Azure IoT Developer Specialty
Microsoft Certified: Azure Developer Associate
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure Security Engineer Associate