• 2 years of experience in Java/J2EE with a focus on Java 1.8, Servlets, REST APIs, requirement analysis, estimations based on software models, design, development, and maintenance of web-based and Client-Server applications• Sound knowledge of all phases of SDLC and Agile in the various domains• Experience in developing applications using JAVA(1.7/1.8), JavaScript, XML, JSON, HTML, CSS and SQL Frameworks, Spring Core, Spring MVC, Spring Security, Spring Boot, Spring ORM, Hibernate, JSP, Servlets, jQuery, Waterfall model, Scrum, and Agile Methodology, XML Related and Others DOM Web Services, Restful services(REST APIs), JUnit for unit testing and Web/Application Tomcat• Effective in delivering solutions both in terms of cost-effectiveness and quality to offer high-quality services to the organization and its customers and eager to contribute in a challenging work environment demanding organizational excellence and customer value• Ability to coordinate with team members for all phases of the technology life cycle that include project planning, requirement analysis, system design, implementation, building, and testing code integration, and application maintenance• Design, development, post-production support, custom product development, and client demonstration and design alternatives reviews• Well versed to work different scenarios using Multithreading• Hands-on experience with best practices of Web services development and Integration of REST APIs• Used Hibernate named queries concept to retrieve data from the database and integrate with Spring boot to interact with the backend persistence system (MySQL).• Used the JIRA tracking tool to manage and track the issues reported by QA and prioritize and take action based on the severity.• Experience in source code management and building tools such as Git, SVN, TeamCity, Bitbucket, and Maven• Extensive experience in Data Modeling, Stored Procedures, triggers, and functions, worked on Database management systems such as MySQL and Oracle• A solid understanding of computer science concepts, e.g.: data structures, design patterns, information retrieval, and algorithms.
