Dhinakaran K

Contributed to building a cloud-based vault application, enabling users to securely organize, share and transition essential documents. Developed and maintained backend microservices using Spring Boot, integrating business logic with robust database management through Spring Data JPA and Amazon Aurora (PostgreSQL). Implemented secure authentication and authorization protocols leveraging AWS Cognito and Spring Security with OAuth 2.0, ensuring role-based access control (RBAC). Optimized containerized deployment workflows by orchestrating backend microservices with Docker and AWS Kubernetes Service (EKS) for scalability and efficiency. Streamlined third-party integrations, such as Google APIs for geocoding and analytics, and ClamAV for malware screening, enhancing application functionality. Migrated ledger database operations from Amazon QLDB to Solana NFT Blockchain, utilizing a NodeJS application to ensure data immutability and cryptographic verification for documents. Collaborated on DevOps pipelines using Jenkins, SonarQube, and JFrog for CI/CD, ensuring high-quality code and reliable deployments. Monitored application performance and resolved issues proactively using SLF4J for logging and New Relic for monitoring, supporting seamless user experiences.

Developed a system to create and manage traveler profiles, book tickets, and handle orders using Spring Boot, implementing security and authentication using JWT tokens. Developed REST/JSON and GRPC APIs using REST Controllers and Microservices, leveraging Maven dependencies for JSON parsing. Architected and developed Spring Boot applications from scratch, incorporating Microservices, GCP, Envoy load balancer, Docker, Kubernetes, Jenkins, JUnit/Mockito, GCP Traffic Director, Monorepository and Google's Pub/Sub. Implemented CI/CD pipelines with containers deployed on GKE and Infrastructure as Code (IaC) using Terraform. Gained expertise in Spring Cloud, Google Cloud Platform (GCP), Spanner, Bigtable and BigQuery. Utilized tools such as SonarQube, Rally, Veracode and Bitbucket. Employed SLF4J for logging and GCP monitoring dashboards, improving issue resolution time by 30%.

Developed and managed policies for multiple product lines of Insurance company. Developed client-specific modules and enhancements for the insurance site, enabling customer creation and policy processing using Spring Boot with Microservices and RESTful APIs. Utilized MySQL with JDBC/JPA and Spring framework for database management. Provided maintenance support for the application. Created dashboards in Splunk to consolidate application details, facilitating faster issue identification and analysis reducing issue resolution time by 30%. Automated health checks using Datadog and set up alerts with AppDynamics to monitor application performance, improving system reliability.