Designed and maintained microservices architecture using Springboot, enhancing modularity and performance of large-scale applications

Developed RESTful and GraphQL APIs to streamline data handling across services, achieving a 20% increase in API efficiency and reducing response time by 15%

Integrated TypeScript to improve code readability and ensure type safety, which reduced runtime errors by 30%

Collaborated closely with frontend teams to design and implement data-driven features, reducing dependency on complex SQL queries by leveraging GraphQL resolvers

Built and managed CI/CD pipelines with GitHub Actions, automating test, build, and deployment processes to achieve consistent, quick releases

Utilized Docker to containerize applications, simplifying deployment and scaling across environments with 99.9% uptime

Implemented unit and integration tests using Jest, ensuring 85% code coverage and maintaining high software quality

Actively participated in Agile ceremonies (sprint planning, stand-ups, retrospectives), contributing to a 15% increase in team velocity

Integrated SQL and NoSQL databases (PostgreSQL and MongoDB) for hybrid data storage, improving data flexibility for client applications

Designed and executed CI/CD pipelines with Jenkins to automate deployments, reducing manual interventions by 80%

Leveraged Docker to create consistent development, testing, and production environments, ensuring seamless integration across platforms

Conducted code reviews, mentored junior developers, and established best practices for code maintainability and test coverage

Implemented GraphQL APIs to enable efficient data fetching, which reduced client data retrieval time by 20% on average

Designed and maintained CI/CD pipelines with Jenkins and Docker, ensuring reliable, automated deployments with minimal downtime

Integrated MySQL and MongoDB to manage relational and document-based data, achieving better data flexibility and retrieval performance

Applied TDD principles with Jest to ensure robust testing coverage and improve software reliability in production environments