Jul 2023 – Present · 2 yrs 11 mos

• Architected a high-throughput scheduler orchestrator that replaced a legacy MongoDB segmentation system with a modern microservices framework using Spring Boot, Quartz Scheduler, and Kafka—propelling record processing throughput from 80K QPM to 1.2M QPM
• Taking ownership of critical components like the SST, which unifies real-time event flows from multiple data sources, I enhanced performance from 20k QPM to an impressive 240k QPM by implementing distributed locking techniques using Apache ZooKeeper and Apache Curator.
• Played a key role in transforming our monolithic backend architecture into a microservices-oriented design, integrating Kubernetes support. Orchestrated the migration of the entire backend to Kubernetes, optimizing scalability and deployment efficiency that reduced infrastructure costs by 18%.
• Led the transition to real-time reporting for campaign performance, reducing report delivery time from 24 hours to minutes, which empowered the business to make timely decisions and resulted in a 60% increase in campaign effectiveness and a 12% boost in revenue.
• Led a team of eight engineers, driving the design and implementation of cost-efficient backend systems that reduced infrastructure costs by 8%. Introduced event-driven segmentation, enabling real-time user segmentation based on live event data, significantly reducing reliance on traditional, historically-based segmentation methods and improving targeting precision

Oct 2021 – Jun 2023 · 1 yr 8 mos

• Had a pivotal part in the successful integration of major clients, such as TATA, Airtel (India’s leading telecom operator), and Ferrari.
• Spearheaded the development of advanced platform features, including segmentation and multi-vendor support, increasing platform scalability by 16%. Successfully integrated with key messaging services (Vialogue SMS, InfoBip WhatsApp, Email and SMS, Adobe SMS and Email), leading to a 25% increase in user communication effectiveness.
• Enhanced the monitoring infrastructure by implementing Grafana and Prometheus, centralizing metrics collection for all backend components. This led to a 40% reduction in system downtime and improved visibility into key performance indicators (KPIs), facilitating proactive issue resolution.
• Integrated WhatsApp channel support into the CDP platform, enhancing customer engagement by 20%.
• Created a interregional VPN connectivity between Azure and AWS Resources for gathering business metrics and deployed a centralized monitoring environment(Grafana, Prometheus).
• Led the architecture design and implementation of multiple on-premise projects involving IPsec tunnels, ensuring secure and encrypted data communication, and enhancing overall network security and reliability.
• Automated recurring issues, reducing on-call hours by 35% and enhancing system stability. This initiative freed up 20% more time for feature development and improved weekly on-call management, leading to a 25% faster resolution rate for client and internal team queries.