Built Java/Spring Boot payment microservices handling 1M+ daily transactions, achieving 99.9% uptime across all production environments.

Deployed 5+ services on AWS EKS and Azure AKS using Docker, enabling auto-scaling that absorbed 3x traffic spikes with zero downtime.

Built CI/CD pipelines using GitHub Actions and Jenkins, cutting release cycles from weekly to daily and reducing manual deployment steps by 40%

Implemented rule-based fraud detection logic using Java pattern matching, reducing false-positive payment alerts by 20%.

Optimized MongoDB query performance using indexing and aggregation pipelines, cutting average API latency by 35%.

Built Splunk monitoring dashboards with custom alert thresholds, reducing mean time to detect production incidents by 30%.

Partnered with product and QA teams across 8 sprint cycles using Agile, delivering all features on schedule with under 2% post-release defect rate.

Replaced a legacy SAP monolith with Spring Boot microservices, cutting Accounts Payable processing time by 50% and eliminating 3 manual workflow steps.

Built HIPAA-compliant REST APIs using JWT authentication and RBAC via Okta, securing 100% of sensitive healthcare endpoints across 4 services.

Leveraged Azure DevOps for pipeline management and Azure SQL for enterprise data storage, improving deployment traceability and reducing data retrieval time by 25%

Deployed to AWS (EC2, EKS, RDS, S3) using Jenkins and Docker CI/CD pipelines, achieving zero-downtime releases across dev, staging, and production.

Implemented circuit breakers, retry logic, and Liquibase schema versioning using Spring Boot resilience patterns, reducing release rollbacks by 60%

Built and maintained 10+ REST APIs using Java and Spring Boot, supporting 50,000+ daily active users across enterprise internal applications.

Optimized complex SQL queries using CTEs and window functions in PostgreSQL and MySQL, reducing report generation time by 35%.

Increased unit test coverage from 45% to 82% using JUnit and Mockito, directly reducing post-release defects by 30% across 6 sprint cycles.

Containerized 8 legacy applications using Docker and Kubernetes, cutting environment setup time by 60% across development teams.

Built Jenkins CI/CD pipelines integrated with Git branching, eliminating 70% of manual deployment steps and enabling 3x faster release cycles.

Delivered features consistently on time across 10+ Agile sprints, maintaining a post-release bug rate under 2%.