• Architect and develop high-throughput microservices using Java 17 and Spring Boot, serving 2M+ daily requests with p99 latency under 200ms.

• Lead Angular 16 frontend development across 4 product modules, reducing page load times by 45% through lazy loading and change detection optimization.

Design event-driven pipelines with Apache Kafka, enabling real-time data processing across 8 downstream services.

• Deploy and manage containerized workloads on AWS ECS and Lambda with Terraform-managed infrastructure, achieving 99.95% uptime.

• Drive CI/CD adoption with GitHub Actions and Jenkins, cutting deployment cycle from 3 days to under 2 hours.

• Mentor 3 junior developers on Spring Boot best practices, code review standards, and API design patterns.

• Built and maintained RESTful API integrations connecting 5 enterprise platforms (ERP, LMS, SIS) using Spring Boot and MuleSoft.

• Designed ETL pipelines with Apache Airflow and PySpark to migrate 3M+ student and financial records to a centralized data warehouse.

• Reduced system integration errors by 62% by implementing automated validation, retry logic, and dead-letter queue handling in Kafka.

• Collaborated with cross-functional teams to document integration specifications and maintain data governance standards.

• Developed 12 RESTful microservices using Spring Boot and Spring Cloud, handling 500K+ daily API calls in a distributed healthcare platform.

• Built responsive Angular dashboards consuming real-time data via WebSockets, improving clinician workflow efficiency by 30%.

• Optimized PostgreSQL queries and introduced Redis caching layer, reducing average API response time by 55%.

• Implemented JWT-based authentication and role-based access control across 6 microservices, meeting HIPAA compliance requirements.

• Contributed to AWS infrastructure (EC2, RDS, S3) managed via Terraform; automated deployments using Jenkins pipelines.

• Designed and maintained university-wide Spring Boot applications supporting 35,000+ students and staff, achieving 99.9% availability.

• Developed Big Data pipelines using Apache Spark and PySpark on Hadoop clusters to process research datasets exceeding 10TB.

• Built Angular portals for student services and faculty management, consolidating 4 legacy systems into a single platform.

• Integrated DynamoDB and Snowflake for real-time analytics dashboards used by university leadership for enrollment and retention decisions.

• Automated reporting workflows with Python and Airflow, saving 20+ hours of manual effort per week.

• Built and maintained Java/Spring MVC backend services for a fintech platform processing 100K+ daily transactions.

• Developed RESTful APIs integrated with third-party payment gateways (Razorpay, Paytm), improving transaction success rate by 18%.

• Migrated legacy monolithic modules to Spring Boot microservices, reducing deployment time by 70% and improving system maintainability.

• Implemented MySQL query optimization and connection pooling, cutting average database query time from 800ms to under 120ms.

• Wrote unit and integration tests using JUnit 5 and Mockito, achieving 85%+ code coverage across core modules.