Dax Patel Email and Phone Number

• Led all phases of the SDLC using Agile methodology, ensuring continuous delivery and effective collaboration with cross-functional teams during sprint planning and daily standups.• Developed microservices with Spring Boot and MVC architecture, achieving a 35% reduction in API development time.• Designed RESTful APIs for user authentication, significantly enhancing system modularity and maintainability.• Implemented Spring Security for robust authentication and authorization, reducing security vulnerabilities by 30% and ensuring compliance with industry standards.• Integrated front-end features using React.js, enhancing user experience and engagement while decreasing page load times.• Built optimized server-side applications using Node.js for event-driven, non-blocking operations, suitable for high-traffic environments.• Deployed and managed cloud-based applications on AWS, leading to a 40% reduction in infrastructure costs and a 30% improvement in scalability and performance.• Automated cloud infrastructure deployment with Terraform, ensuring repeatable and reliable provisioning of resources through Infrastructure-as-Code (IaC).• Utilized MySQL as the primary backend database, ensuring fast, reliable, and scalable data storage for web applications.• Implemented NoSQL databases like DynamoDB to provide scalable and high-performance data storage solutions for full-stack applications.• Leveraged GraphQL for precise data querying, optimizing data retrieval operations and enhancing the performance of data-driven applications.

• Developed responsive web interfaces using HTML, CSS, and JavaScript, improving user engagement by 25% through enhanced design and functionality.• Enhanced web application architecture and server request handling using J2EE technologies such as Spring, JSP, Servlets, JavaBeans, and JSTL, leading to more efficient applications.• Optimized application performance and scalability by 22% through back-end integration with Spring Boot and Hibernate ORM for seamless data persistence.• Utilized PostgreSQL for reliable data management, improving consistency and availability while optimizing queries for critical business operations.• Developed serverless functions with AWS Lambda for real-time data processing, significantly reducing infrastructure overhead and increasing efficiency.• Monitored application performance through AWS CloudWatch, identifying performance bottlenecks and successfully reducing application downtime by 15%.• Improved data throughput by 25% and reduced processing time by 20% by fine-tuning ETL pipelines using Java, enhancing data processing efficiency for large datasets.• Enhanced data accessibility using AWS Glue for data cataloging and Athena for querying large datasets, reducing query execution time by 25%.• Increased test coverage by 30% through end-to-end testing with Selenium WebDriver, ensuring consistent functionality across different browsers and operating systems.• Streamlined CI/CD processes using Docker and Ansible, achieving a 40% reduction in deployment time and improving resource utilization by 25%.• Integrated various AWS services to build scalable and reliable cloud-based solutions, maintaining a 99.9% system availability rate.