Yatin Gupta

Backend developer - Customer Growth and Engagement team. Designed and implemented a self-service booker addition feature using Kotlin and Ktor, reducing dependency on KAMs and cutting employee access queries by 90%. Spearheaded a data ingestion and reconciliation pipeline revamp to improve invoice accuracy. Built and optimized event-driven ingestion systems using Kafka and gRPC, improving data consistency and reliability across distributed microservices. Created a centralized order_details schema with optimized queries, eliminating redundancy and improving data consistency and query performance. Enabled dual ingestion from OLC Kafka and invoice events to power billing and invoicing workflows. Implemented event-driven reconciliation logic with automated fallback handling, improving system resilience and fault tolerance for missed transactions. Configured Kubernetes HPA and Dockerized deployments using resource-based thresholds (CPU/memory), ensuring stable and efficient performance during peak traffic hours. Set up proactive monitoring, alerting, and tracing using Datadog and GCP, improving incident response time and observability across microservices. Monitored pod health and ensured zero-downtime deployments by configuring Kubernetes readiness and liveness probes, and optimizing rollout strategies.

Backend Developer - Supply Chain Management (Warehouse Management). Built and optimized features for the Warehouse Management System (WMS) using Java, Spring Boot, and Kafka, improving inventory accuracy and operational efficiency across 20+ warehouses. Developed a Problematic Item Attribute Correction module, reducing data discrepancies by 15%, resulting in cost savings and enhanced system integrity. Collaborated with cross-functional teams (Product, QA, DevOps) to ensure seamless deployments, robust monitoring using Datadog, GCP and quick recovery from failures. Led debugging and performance tuning for legacy WMS flows by moving from monolithic to micro service architecture, improving latency and reducing operational bottlenecks.