Jul 2023 – Jun 2025 · 1 yr 11 mos

• ◦ Real-time Analytics Platform: Designed and implemented an end-to-end analytics pipeline leveraging Kafka and Snowflake to deliver interactive real-time dashboards and reports, empowering data-driven decisions throughout the organization. Reduced Snowflake usage costs by 40% by optimizing queries, managing storage more efficiently, and implementing best practices
• ◦ WebSocket Event Streaming: Built a high-throughput WebSocket layer for frontend analytics and operational telemetry, capable of streaming 100k events per second into Snowflake via Kafka Connect. Used not only for real-time user behavior tracking, but also for error logging, alerting, and debugging in case of user issues—enabling faster detection and resolution of live problems.
• ◦ AirIntel (LLM-Powered Analytics): Co-led the development of Airgenie, an LLM-based AI assistant.
• Spearheaded the flagship feature AirIntel, optimized to process live data from over 1 Million unique users every 10 minutes, providing intelligent event, session-level insights.
• ◦ Scalable Event Infrastructure: Scaled the platform to support up to 80,000 concurrent users for a single
• event by optimizing backend services and infrastructure using AWS, Kafka.
• ◦ Developed a real-time action-tracking service (Perflow) that triggers automated workflows (e.g., Slack/email notifications) based on user interactions, improving organizer responsiveness and automation.

Apr 2021 – Jun 2023 · 2 yrs 2 mos

• ◦ High-Volume Notification System: Architected and implemented a robust, fault-tolerant notification system using AWS SES and SendGrid, capable of delivering 10+ million emails and SMS messages monthly. Integrated retry mechanisms, dead-letter queues (DLQs), and load balancing strategies to ensure 99.99% delivery reliability and reduced message failure rate by 40%, significantly improving user engagement and operational efficiency.
• ◦ Developed seamless integrations with external platforms such as Salesforce, Mailchimp, Zapier, Eventbrite, HubSpot and more enabling efficient data exchange for registrations, user actions and automating workflows across marketing and event operations.
• ◦ Technologies Used: Spring Boot(Java), Python, Nodejs, Snowflake, Postgres, Mysql, MongoDb, Kafka, Debezium, Redis, AWS (ECS, EC2, Codebuilds, Codedeploy), CI/CD Pipelines, Git Actions.

Jun 2020 – Mar 2021 · 9 mos