 Built and supported Kafka-based event-driven workflows using Java 8+ and Spring Boot for account updates and notifications, processing 1M+ events across distributed services and enabling reliable downstream API and application flows.

 Monitored consumer lag and pipeline health using observability tools, identified processing bottlenecks, and collaborated with teams to improve stability and responsiveness across distributed services.

 Designed and maintained PostgreSQL and MongoDB schemas, writing SQL queries with joins, aggregations, and subqueries, and optimized indexes and query execution plans for efficient data retrieval.

 Improved API performance by implementing Redis caching and optimizing database queries, reducing response latency by 18% and enhancing responsiveness of frontend-driven API calls during peak usage.

 Monitored production systems using CloudWatch, Prometheus, and Datadog by configuring logs, dashboards, and alerts, improving visibility and reducing time required to identify and resolve issues by 20%.

 Designed and developed end-to-end inventory and order management features across Angular and .NET (ASP.NET Core), implementing REST APIs and integrating UI components with backend services for 900K+ annual transactions.

 Led the refactoring of a monolith into microservices by modularizing business logic and integrating RabbitMQ for asynchronous messaging, reducing inter-service processing delays by 20,000 ms and improving decoupling and maintainability.

 Optimized application performance across frontend-to-backend workflows by implementing Redis caching and tuning SQL queries across PostgreSQL and Azure SQL, reducing API response times by 25% and improving user-facing latency in UI-driven workflows.

 Worked on CI/CD pipelines using Jenkins and GitHub Actions, containerized applications using Docker, and supported Kubernetes deployments, improving build consistency and reducing deployment issues by around 30%.

 Developed scheduled batch processing jobs using MongoDB and Azure Cosmos DB to synchronize data across systems, ensuring consistent data availability between backend services and user-facing reporting interfaces.

 Collaborated with Agile teams across sprint planning, code reviews, testing, and requirement discussions, contributing to timely delivery of features aligned with business priorities and release timelines.