Nitesh Kumar Kumbalkar

Designed and built scalable, event-driven backend systems for enterprise data and commerce platforms, supporting global merchandising, product lifecycle, and customer-facing experiences, with near real-time ETL pipelines for high-volume data ingestion, transformation, and validation. Architected and implemented cloud-native, serverless infrastructure on AWS (Lambda, DynamoDB, Kinesis, OpenSearch) using Infrastructure as Code (Terraform) to ensure reliability, fault tolerance, data quality, and repeatable, auditable deployments at scale. Built high-throughput, low-latency backend services for Product Detail Page and Availability using Spring WebFlux, aggregating asynchronous data from multiple downstream systems and improving responsiveness under load. Applied AI-assisted development tools (GitHub Copilot, Cursor) for rapid prototyping, safe refactoring, test generation, and code comprehension across Java, Python, and Node.js development velocity while maintaining production-quality standards. Implemented edge security and caching optimizations using Akamai Site Shield and automated cache purge services, reducing cache-related incidents and improving content freshness and delivery performance. Automated observability and monitoring using Python-based tooling to configure SignalFx detectors for key SLIs/SLOs (latency, error rates, traffic), improving alert quality, reducing noise, and lowering MTTR. Developed backend services (Node.js) and frontend components (React) to power personalized Email, Push, and SMS communications, integrating with upstream content authoring systems and delivery pipelines. Collaborated closely with Product Managers, Designers, and partner teams in an agile environment to deliver features aligned with engagement, growth, and reliability KPIs. Built and maintained CI/CD pipelines using Jenkins and Git, enabling fast, reliable deployments for microservices and event-driven workloads; stood up AWS infrastructure for the SMS communication channel deployed on Amazon Elastic Kubernetes Service (EKS). Built internal developer productivity tools, including a Slack bot for managing dynamic variables in communication workflows, significantly reducing manual operational overhead. Led an Innovation Week PoC integrating Amazon Comprehend for sentiment analysis of user reviews, using AI-assisted tooling to quickly explore APIs, scaffold services, and iterate on workflows demonstrating personalized customer engagement opportunities. Created a JavaScript compliance library to detect non-inclusive keywords in codebases, improving adherence to internal standards and reinforcing engineering quality practices.

Designed database schema and Redis cache models for the order replacement service, enabling fast lookups during fulfillment. Built Java-based REST APIs to manage replacement items, ensuring scalability, maintainability, and robust fallback workflows.

Migrated legacy on-prem web services to Spring-based REST APIs, modernizing Trading Networks interfaces and improving interoperability. Added multi-database support, enhancing portability and enterprise adoption while delivering roadmap features in collaboration with QA.

Designed and implemented ingestion pipeline processing millions of events for anomaly detection in intrusion, fraud, and system health use cases. Built REST APIs using Flask-RESTful with MongoDB storage and containerized services using Docker for scalability and fast deployments. Customized fraud detection product according to client specifications and created a functional test automation suite, accelerating regression cycles and improving release quality.