-Implemented a highly scalable sensor anomaly detection module to send automated alerts (email, text message, phone calls, announcements) to customers when anomalies are detected by the system.-Designed analytics engine to visualize and send daily digest emails to customers informing them about the system behavior and status.-Working on migrating the backend cloud architecture to a hybrid on-prem/ cloud infrastructure implementing reliability/ disaster recovery and failovers.

-Worked in the Audible memberships team on the backend designing and implementing new customer memberships on the web, iOS and Android platforms.-Designed a scalable data transfer pipeline for registering customer data in real time to be analyzed for marketing targets and analytics.-Implemented Audible's Free Trial, Silver Plan's backed API's to be rolled across all North America.- Implemented and evaluated security protocols to remediate AWS security vulnerability and created a design flow to be followed across the company.

-Worked on backend development of the IoT software infrastructure and designing the API server to integrate with the frontend website, mobile app and annunciator devices to support thousands of daily users.-Automated the device registration process, increasing the efficiency by 200%. This process utilized the QR code on the device to perform a device registration process within milliseconds using the Aware Config mobile app.

- Developed ETL process and cloud architecture for IoT Data using Microsoft Azure Cloud.- Designed daily and weekly scheduled customer analytic emails for providing insights to IoT sensor solutions, detailing alarms, anomalies, environmental stats, sensor health, and visualizations using scalable microservices, REST APIs, Power BI, SendGrid, HTML, CSS dynamic templates.- Created and Managed SQL and NoSQL Database Schema and Design for sensor data and created indexes, partitions, jobs, triggers for efficient data extraction for analytics.- Created and maintained Node JS, Express JS API Server for Customer, and Admin web/ mobile UI for sensor management and visualizations.- Developed scheduled and event-based scalable architecture using Azure IoT Hub, Azure Stream Analytics, Azure Event Hubs, Node JS Web Apps, Sendgrid, Twilio for customer-defined anomaly detection alerts, solution monitoring on streaming data.- Developed customer-facing analytics using SSAS, SQL Server, Power BI, Vue JS, Node JS, Azure Cloud Services- Developed Data Parsing Algorithms in Python using Kafka, Rabbit MQ, Azure IoT Hub for LoRa Infrastructure to support thousands of devices.- Worked with a team of 8 Engineers to develop analytics/ notifications software architecture for COVID safety solutions for sanitation logging in buildings using Vue.js, SQL Database, Node.js, Express.js API Server, Microsoft Azure Cloud services like IoT Hub, Storage Account, Data Factory, Stream Analytics, Service Bus.

- Automated the process of Back end and Front end build, test and deployment using Jenkins, bash and Python.- Developed the ETL process to analyze New York City Building Violations Data Sets to identify violations and categorize them using Apache Spark, Python and Power BI.

- Designed and graded assignments for Digital Logic & State Machine Design- Mentored students through schematics and implementation of digital logic designs.

- Developed electricity consumption analytics using ETL process for various NYPA Power generating plants using R, Python and Tableau. - Integrated and Developed data electricity generation and efficiency calculation tools for Application Development & Support Team in Python.