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.
Experience
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.
Built mobile-ready UIs with accessibility standards (WCAG) for banking, retail, and healthcare systems
