Krishna Reddy

• 12+ years of experience in designing, developing, and deploying enterprise applications across multiple domains including banking, retail, healthcare, government, and technology.
• Expertise in Java (6–21), J2EE, Spring Boot, Spring Cloud, Spring Security, Hibernate, JDBC, and enterprise-grade microservices architectures.
• Designed and implemented cloud-native microservices using Docker, Kubernetes (EKS, AKS, OpenShift), and Helm for scalable deployments.
• Built and optimized RESTful APIs and GraphQL APIs with Swagger/open API 3.x for seamless integrations.
• Hands-on expertise in event-driven architecture with Apache Kafka, RabbitMQ, IBM MQ, AWS SNS/SQS for real-time messaging.
• Skilled in Node.js (Express.js) development, modernizing applications with REST/GraphQL APIs and containerized cloud deployments.
• Implemented Spring Batch, Quartz Scheduler, and Kafka Streams for high-volume ETL, batch jobs, settlements, and real-time data processing.
• Developed ML-driven APIs and data pipelines leveraging Kafka, Kubernetes, AWS, and Azure for real-time inference and scalable model training.
• Proficient in front-end frameworks: Angular (9–17), React.js 18, Vue.js 3, and strong skills in TypeScript, JavaScript, HTML5, CSS3, Bootstrap.

• 12+ years of experience in designing, developing, and deploying enterprise applications across multiple domains including banking, retail, healthcare, government, and technology.
• Expertise in Java (6–21), J2EE, Spring Boot, Spring Cloud, Spring Security, Hibernate, JDBC, and enterprise-grade microservices architectures.
• Designed and implemented cloud-native microservices using Docker, Kubernetes (EKS, AKS, OpenShift), and Helm for scalable deployments.
• Built and optimized RESTful APIs and GraphQL APIs with Swagger/open API 3.x for seamless integrations.
• Hands-on expertise in event-driven architecture with Apache Kafka, RabbitMQ, IBM MQ, AWS SNS/SQS for real-time messaging.
• Skilled in Node.js (Express.js) development, modernizing applications with REST/GraphQL APIs and containerized cloud deployments.
• Implemented Spring Batch, Quartz Scheduler, and Kafka Streams for high-volume ETL, batch jobs, settlements, and real-time data processing.
• Developed ML-driven APIs and data pipelines leveraging Kafka, Kubernetes, AWS, and Azure for real-time inference and scalable model training.
• Proficient in front-end frameworks: Angular (9–17), React.js 18, Vue.js 3, and strong skills in TypeScript, JavaScript, HTML5, CSS3, Bootstrap.
• Built reusable Angular modules, React components, and Vue widgets, improving maintainability and reducing technical debt.
• Applied UI optimization techniques include lazy loading, caching, and responsive design for cross-platform performance.
• Extensive expertise with SQL and NoSQL databases: PostgreSQL, Oracle, MySQL, MongoDB, DynamoDB, Redis, Neo4j, Cassandra.
• Designed and optimized database schemas, indexing strategies, and aggregation pipelines to support high-volume transactional systems.
• Deployed enterprise applications on AWS (ECS, EKS, Lambda, API Gateway, S3, RDS, DynamoDB, Cognito, Step Functions) and Azure (AKS, Functions, Key Vault, DevOps).
• Automated infrastructure provisioning using Terraform, Ansible, and AWS CloudFormation, ensuring compliance and consistency.
• Strong DevOps expertise with CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, and Azure DevOps.
• Configured blue-green deployments and canary releases on Kubernetes, minimizing production downtime.
• Applied Spring Security, OAuth 2.0, JWT, SAML, LDAP, and SSO (Cognito, Key cloak, Okta) for secure authentication/authorization.
• Implemented API Gateway throttling, Redis caching, and CDN optimizations to improve API response times.
• Applied secure coding practices with AWS Secrets Manager, Azure Key Vault, SonarQube, aligned with PCI-DSS, SOX, HIPAA, and GDPR compliance.
• Designed Helm charts and Kubernetes manifests for automated deployments in multi-cloud environments.
• Developed serverless solutions using AWS Lambda, Step Functions, and Azure Functions, reducing infrastructure overhead.
• Configured observability and monitoring with Prometheus, Grafana, ELK Stack, Datadog, AWS CloudWatch, Open Telemetry, and AWS X-Ray.
• Improved system performance with query tuning, batch optimization, in-memory caching, and connection pooling.
• Conducted performance benchmarking using JMeter, LoadRunner, and Gatling to validate scalability under peak loads.
• Collaborated with cloud engineering teams to configure VPCs, subnets, IAM roles, and security groups for compliance and isolation.

B Tech computer science Engineer