Keval Makadiya

About Keval Makadiya

Results-driven Java Full Stack Developer with experience building scalable, high-performance web applications using React.js, Spring Boot, and PostgreSQL, focused on delivering seamless user experiences and optimized backend performance.• Proficient in AWS, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Jenkins) to streamline deployments, ensure system reliability, and maintain consistency across development and production environments.• Strong advocate for clean code, collaboration, and Agile best practices, skilled in RESTful and GraphQL API development, secure coding, and mentoring peers to drive team success and project efficiency.• Experienced in integrating microservices, caching (Redis), and API security frameworks to improve system scalability, reduce latency, and enhance overall product performance and stability.

Experience

1. Full-stack Developer

   Shopify

   Jul 2023 — Present · US

   Led end-to-end development of high-performance web applications using Java, Spring Boot, React.js, and TypeScript, improving page load speed by 30% and enhancing user engagement metrics.• Designed and deployed RESTful and GraphQL APIs supporting over 1M transactions per week, ensuring seamless data flow between microservices and front-end applications.• Integrated AWS services (EC2, RDS, S3, Lambda) to scale backend workloads and optimize data processing, resulting in 25% cost efficiency and improved system reliability.• Migrated legacy monolithic modules into Dockerized microservices orchestrated via Kubernetes, cutting release downtime by 40% and improving scalability.• Implemented Spring Security with JWT-based authentication and role-based authorization, strengthening application security and ensuring compliance with internal audit standards.• Enhanced CI/CD processes using GitHub Actions and Jenkins, enabling automated build, test, and deployment workflows across environments with 98% deployment success.• Collaborated with product managers and UX teams to develop dynamic, responsive React components and dashboards that improved data visualization for business analytics.• Optimized database queries and indexing on PostgreSQL and MongoDB, reducing API latency by 35% and boosting performance under heavy traffic loads.• Built custom monitoring and logging pipelines using ELK Stack and Prometheus, improving incident response time by 45% through proactive alerting and traceability.• Mentored junior developers, conducted code reviews, and facilitated Agile sprint ceremonies, contributing to consistent sprint delivery and team performance improvements.

Education

• California State University, Northridge

  Bachelor of Science - BS