Rahul A

As a Product Development Engineer, I focused on developing scalable, microservices-based solutions using Spring Boot. My responsibilities included:

• API Development & Integration: Designed and developed RESTful APIs to enable communication across microservices, ensuring performance, security, and scalability.
• Database Utilization: Worked with a range of databases across microservices:SQL for structured data, optimizing queries for performance and consistency.
  Neo4j for graph-based data, improving the speed and ease of querying complex relationships.
  Elasticsearch for search and analytics, enabling fast full-text searches and handling unstructured data efficiently.
• AWS Cloud Infrastructure: Leveraged pre-configured EC2, RDS, and S3 to ensure scalability, availability, and secure storage for microservices, while focusing on performance optimization.
• SQS Queue Implementation: Implemented AWS SQS to decouple microservices and manage asynchronous communication, improving scalability, fault tolerance, and load balancing.
• KEDA Implementation: Worked on KEDA (Kubernetes Event-Driven Autoscaling), using AWS SQS to dynamically scale microservices based on queue length, optimizing resource usage and cost efficiency.

Overall, my role involved combining expertise in Spring Boot, AWS, and database management, with a strong focus on performance, scalability, and automation, supported by my AWS Solutions Architect – Associate certification.