Arjun Prakash Email & Phone Number

New York City Metropolitan Area

New York, United States

• Integrated AWS Elastic Load Balancer (ELB) and Application Load Balancer (ALB) to ensure high availability and reliability of cloudbased applications, reducing downtime by 20%.• Optimized costs by 35% and improved system performance by 15% using AWS Cost Explorer, AWS Trusted Advisor, and AWS Budgets.• Led the migration initiative to transition on-premises microservices architecture to AWS cloud, leveraging Amazon ECS, RDS, and EKS, resulting in a 40% increase in deployment… Show more • Integrated AWS Elastic Load Balancer (ELB) and Application Load Balancer (ALB) to ensure high availability and reliability of cloudbased applications, reducing downtime by 20%.• Optimized costs by 35% and improved system performance by 15% using AWS Cost Explorer, AWS Trusted Advisor, and AWS Budgets.• Led the migration initiative to transition on-premises microservices architecture to AWS cloud, leveraging Amazon ECS, RDS, and EKS, resulting in a 40% increase in deployment efficiency.• Implemented Redis Caching mechanism, reducing database load and enhancing system response by 50%.• Designed and deployed multi-regional cloud architecture to support the latest offers for physical Chase branches nationwide, increasing customer acquisition by 25%.• Developed RESTful APIs and microservices using Spring Boot, facilitating seamless communication between distributed components.• Utilized Terraform for automated and repeatable deployment of resources including AWS ECS, EKS, DynamoDB, SQS, and Postgres.• Tech Stack: Java 17, Java 11, AWS EKS, ECS, Aurora Postgres, Elastic Cache, SQS, Kubernetes, Terraform, Docker, Jules, Spinnaker, JPA, Spring Boot 3.2, REST APIs, JDBC, DynamoDB, Route53, ALB, NLB, VPC, Step Function. Show less

Atlanta, Georgia, United States

• Automated deployment workflows and streamlined migration processes by designing CI/CD pipelines, reducing deployment times by 30%.• Enhanced billing and payment processing systems to support complex pricing plans, discounts, promotions, and invoicing cycles, improving accuracy by 20%.• Containerized and deployed applications using Docker and Kubernetes on Azure, improving response times by 15%.• Executed backend systems for managing user accounts, billing information, and service… Show more • Automated deployment workflows and streamlined migration processes by designing CI/CD pipelines, reducing deployment times by 30%.• Enhanced billing and payment processing systems to support complex pricing plans, discounts, promotions, and invoicing cycles, improving accuracy by 20%.• Containerized and deployed applications using Docker and Kubernetes on Azure, improving response times by 15%.• Executed backend systems for managing user accounts, billing information, and service activations, ensuring service provisioning accuracy.• Tech Stack: Java 11, Java 8, Azure, Docker, Jenkins, Azure App Services, Spring Boot 3.2, JPA, Spring Auth, Swagger, Spring Security, Maven. Show less

United States

• Optimized database queries and caching strategies to improve application performance and responsiveness during peak traffic periods by 25%.• Developed and maintained data layers using Hibernate and Spring Framework, ensuring efficient data management.• Integrated Kafka Connect for seamless data synchronization, improving inventory management and order fulfillment processes by 20%.• Tech Stack: Java 11, Java 8, Hibernate, Docker, Jenkins, Spring Boot, Spring Security, AWS EKS, AWS… Show more • Optimized database queries and caching strategies to improve application performance and responsiveness during peak traffic periods by 25%.• Developed and maintained data layers using Hibernate and Spring Framework, ensuring efficient data management.• Integrated Kafka Connect for seamless data synchronization, improving inventory management and order fulfillment processes by 20%.• Tech Stack: Java 11, Java 8, Hibernate, Docker, Jenkins, Spring Boot, Spring Security, AWS EKS, AWS EC2, MySQL, Postgres, JPA, Maven, Kafka. Show less

Kolkata Area, India

• Constructed high-performance Data Access Layer components by leveraging Java and Hibernate Framework, resulting in a 30% improvement in data retrieval speed and a 20% reduction in database access errors.• Conducted code reviews and unit testing using JUnit, improving code quality and reducing bugs by 15%.• Tech Stack: Java 11, Spring MVC, Micro Services, REST Web Services, Mockito, Oracle SQL, Swagger, Jenkins, JUnit.

Chennai, Tamil Nadu, India

Master'S Degree, Information Technology And Analytics, 3.52

Bachelor Of Technology (B.Tech.), Computer Software Engineering, 8.79

Activities and Societies: Trained in Networks and Security from HP. Letter of Appreciation in social services in organization Initiative.