Karthikeya Arra

Developed and optimized MySQL database schemas to improve query response times by 40%. Implemented scalable microservices using Docker, Kubernetes, and Spring Boot for high availability and quick deployments. Built Kafka-based messaging systems for managing real estate transaction data pipelines with optimized broker settings and fault-tolerant consumer groups. Leveraged AWS Lambda to reduce operational costs with serverless architecture. Enhanced responsiveness via Redis caching and designed real-time data processing systems using Apache Kafka Streams and Avro serialization. Secured REST APIs with JWT authentication and Spring Security, and managed containerized app deployments using Kubernetes and Amazon ECS with automated CI/CD pipelines. Contributed across the full SDLC in Agile teams, ensuring smooth project delivery and collaboration using Jira and Confluence.

Created and refined MySQL database schemas for real estate applications, improving query response times by 40%. Developed microservices with Docker, Kubernetes, and Spring Boot for scalable and highly available deployments. Built Kafka-based messaging systems for managing high-throughput real estate transaction data. Implemented AWS Lambda serverless architecture to reduce operational costs. Enhanced responsiveness using Redis caching. Designed real-time data processing with Apache Kafka Streams and Avro serialization. Developed secure REST APIs with Spring Security and JWT authentication. Managed containerized application deployments using Kubernetes and Amazon ECS with proper scaling and lifecycle management. Developed unit and integration tests achieving over 90% coverage. Created CI/CD pipelines for smooth automated deployments. Implemented cron jobs and data synchronization between Document DB and downstream systems. Optimized cloud resources on Amazon EC2 for efficient performanc

Developed and implemented Spring Batch tasks to handle large-scale data processing with high scalability and fault tolerance, improving execution times by 30%. Designed MongoDB Document DB schemas to enhance batch processing and query performance. Automated batch jobs using Spring Scheduler and Quartz with retry and error-handling strategies to minimize data loss. Utilized Spring Batch Job Repository for process recovery and monitoring, and created dashboards for batch job observability. Mentored junior engineers to improve team productivity in batch job development. Managed cron jobs for real-time data sync ensuring data accuracy between systems.