Jul 2024 – Present · 1 yr 8 mos · Mumbai, Maharashtra, India

• ◦ Designed and scaled event ingestion pipeline on GCP (Cloud Run + Pub/Sub) handling 230K+
• requests/sec with fault tolerance and low latency.
• ◦ Implemented Android side logic to capture and process users atomic interaction on-device (e.g., contest join, payment, KYC), computing performance/error metrics locally and sending structured events to backend ingestion for analytics and monitoring.
• ◦ Developed scalable microservices and REST APIs that powered near real-time ( 1 min latency)
• dashboards for monitoring user experience metrics, including Apdex score, error rate, latency, and
• experience categorization across user flows such as contest join, team creation, payment, etc.
• ◦ Implemented a dual-database system using BigQuery (primary event store) and MySQL (caching layer)
• to balance deep analytics with low-latency queries powering real-time dashboards.
• ◦ Built user interaction onboarding framework supporting event sequences, blacklist rules, and threshold
• configurations, giving teams flexibility in defining atomic user interaction flow.
• ◦ Built a real-time alerting framework for user experience metrics (Error rate, Apdex, user distribution,
• latency P50/P95/P99) across user flows (like team creation, contest join, add cash, etc), with a self-service dashboard for managing alerts, severity-based Slack (Whistlebot) integration for incident response.
• ◦ Delivered a scalable real-time user activity tracking system with event search, experiment discovery, and AI-driven journey insights, helping customer support and engineering teams resolve issues faster.
• ◦ Set up and maintained CI/CD pipelines using in-house tool Odin and managed GCP infrastructure
• (Cloud Run, Pub/Sub, BigQuery), ensuring automated deployments and high availability across services.