Built and maintained RESTful APIs for inventory updates, task assignments, and event handling, ensuring smooth communication between warehouse systems and automation tools.

Implemented event-driven architecture using Apache Kafka, enabling real-time data flow and reducing 30% processing latency.

Developed Python-based analytics and automation scripts to process warehouse operational data and support basic AIdriven insights, improving decision-making and reducing manual analysis efforts.

Developed a Docker-based workstation emulation system to simulate warehouse scenarios, improving testing efficiency and reducing dependency on physical environments.

Designed and optimized database solutions using PostgreSQL and MongoDB to manage high-volume operational data efficiently.

Integrated Redis caching to improve the performance of frequently accessed data, achieving sub-100ms (under 0.1 seconds) API response times during peak operations.

Used Azure Data Explorer and logging tools to analyze distributed system events and troubleshoot issues across services.

Deployed microservices on Azure using Docker & Kubernetes, ensuring scalable and reliable warehouse automation operations.

Created technical documentation and system workflows, reducing recurring production issues by 20–25% and improving team efficiency.

Built and maintained RESTful APIs for subscription lifecycle management, payment processing, and invoice handling, ensuring reliable service-to-service communication.

Implemented a Kafka-based messaging system to support asynchronous processing and improve system scalability across billing and notification services.

Enhanced system performance using Redis caching, optimizing frequently accessed subscription data and improving API response times during peak usage.

Designed and managed database architecture using MongoDB and PostgreSQL, ensuring efficient data handling for both transactional and non-relational data.

Developed React.js dashboards integrated with backend services to provide users with real-time visibility into subscription status, billing history, and payments.

Investigated and resolved production issues across distributed systems, supporting on-call activities and root cause analysis (RCA) to improve system stability.

Deployed and managed microservices on Azure using Docker and Kubernetes, ensuring scalable and reliable application performance.

Created and maintained technical documentation and system design artifacts, improving team understanding and reducing recurring issues.

Designed and implemented REST APIs for data processing and system integrations, ensuring reliable communication between services.

Improved debugging and issue resolution by enhancing logging and monitoring practices, helping reduce investigation time and improve system stability.

Integrated CI/CD pipelines using Jenkins and Maven, automating build, testing, and deployment processes to improve release consistency.

Created technical documentation and knowledge base articles, supporting faster onboarding and reducing dependency on senior engineers.