Developed streaming data pipelines using Kafka and Redis caching, achieving 42% faster anomaly detection, ensuring low-latency processing for millions of events with fault-tolerant microservices.

Optimized complex data processing workflows and rule engines, increasing compliance detection coverage by 35%, while maintaining full regulatory audit trail and reporting consistency.

Leveraged Java, Spring Boot, and reactive programming to build scalable event-driven systems, collaborating cross functionally to deliver high-quality enterprise solutions on time.

Implemented advanced multithreading and concurrency solutions, applying domain-driven design principles to improve system performance while mentoring junior engineers and fostering collaborative team culture.

Developed RESTful and GraphQL APIs with secure authentication, emphasizing performance optimization, code maintainability, and adherence to clean architecture and software engineering best practices.

Applied modern observability tools including Prometheus and Grafana to monitor distributed microservices, troubleshoot issues, and ensure resilience across high-availability enterprise systems.

Built efficient data pipelines integrating Kafka, Spark, and PostgreSQL, performing real-time analytics while communicating technical insights effectively to stakeholders and cross-functional teams.

Deployed containerized microservices on AWS cloud infrastructure, using Kubernetes and Docker for orchestration, enhancing scalability, resilience, and automated deployment efficiency.

Architected cloud-native applications with AWS services including Lambda, S3, and RDS, implementing CI/CD pipelines, improving deployment speed and ensuring secure, cost-efficient operations.

Supported development of anomaly detection logic using Java and Kafka streams, helping enhance compliance monitoring efficiency by 42% while minimizing false-positive alerts.

Participated in creating automated reporting pipelines with PostgreSQL and Redis caching, improving data retrieval performance by 35% for investigative dashboards.

Collaborated with senior engineers to build REST APIs and integrate GraphQL endpoints, applying object-oriented programming and learning domain-driven design principles effectively.

Contributed to agile team activities including sprint planning, daily stand-ups, and code reviews, demonstrating teamwork, communication, and problem-solving skills in fast-paced environments.

Assisted in implementing event-driven architecture using Kafka streaming, learning low-latency message processing, and supporting system resilience and reliability across distributed services.

Applied Java concurrency, multithreading, and memory optimization techniques under guidance to improve microservice performance and maintain efficient high-throughput processing pipelines.

Wrote unit and integration tests using JUnit and Mockito, supporting test-driven development (TDD) practices to ensure code quality, maintainability, and stable releases.

Participated in deploying and monitoring microservices on AWS cloud using EC2, S3, Lambda, and CloudWatch, gaining hands-on experience with scalable, highly available systems.

Assisted in configuring CI/CD pipelines on GitLab and Kubernetes clusters, contributing to automated builds, deployments, and system monitoring using AWS Cloud services and Prometheus.