Dhruv Patel

Built scalable backend services using Python, Django, and Flask; engineered REST APIs and optimized PostgreSQL schemas with indexing and query tuning, improving data throughput and retrieval speeds. Containerized applications using Docker and implemented CI/CD pipelines with Jenkins and GitLab, reducing deployment time and ensuring consistent multi-environment releases. Designed and deployed Spring Boot microservices with load-balanced routing to improve server response time and overall application performance.

Developed Spring Boot microservices for real-time fraud detection using Kafka Streams and Oracle, processing 1M+ transactions/hour under strict low-latency SLAs. Modernized legacy loan workflows with Java 17, REST APIs, and third-party credit integrations, accelerating loan approvals by 30%. Built a Spring Batch-enabled Basel III reporting engine with optimized ETL and data validation, reducing manual quarterly reporting effort by 70%. Implemented GitLab CI/CD pipelines with Docker and Kubernetes (OpenShift), shortening production release cycles. Enhanced platform security by integrating OAuth 2.0 and JWT authentication via Spring Security, meeting PCI-DSS and GDPR compliance requirements.

Built a cloud-native SaaS platform using Java, Spring Boot, React.js, and AWS Lambda to enable multi-tenant scalability and faster deployment cycles. Designed Node.js microservices with Docker and Kubernetes, achieving 99.9% uptime and seamless horizontal scaling on AWS EKS. Optimized ETL workflows using Python, Apache Airflow, and Snowflake, reducing query latency and supporting analytics dashboards. Developed Python-based sentiment analysis APIs integrated with real-time user activity logs to enhance engagement insights. Automated regression and integration testing using Selenium, JUnit, and Postman, improving pre-release defect detection. Provisioned secure infrastructure using Terraform and CloudFormation, standardizing environment setup across dev, QA, and prod.