Developed scalable in-house Picking microservices (Java, Spring Boot, Oracle, Kafka, AWS, Docker, Kubernetes) tailored for Reliance Store operations, which had unique workflows compared to warehouse fulfillment. Enabled accurate order picking, bin-wise item tracking, and real-time status updates across 2000+ retail stores, improving picking accuracy by 40% and reducing order processing time by 30%. Designed and implemented Label and Print services (Java, Spring Boot, Oracle, Kafka, AWS, Docker, Kubernetes) to automate invoice and shipping label generation post-packing in warehouse operations. Enabled seamless PDF label creation and direct printing to network printers, reducing manual effort by 90% and cutting shipment labeling time per order by 40%. Supported high-concurrency printing for daily shipments across multiple warehouse zones. Created automated schedulers (Java, Spring Boot, Oracle, Kafka, AWS, Docker, Kubernetes) with distributed transaction handling to purge stale shipment data from the packing system, reclaiming storage space and improving query performance. Reduced database bloat by 60%, improved API response times by 25%, and ensured system scalability to handle 1M+ shipment records without performance degradation.