Full Stack Java Developer Resume

SUMMARY

I have always known dat working in IT is my dream and have been stepping towards it right from the beginning. Having worked for almost 7 years in the industry, I have gained incredible knowledge in designing and developing multi - tier scalable applications. My thirst for moving along wif advancing tools and technologies has kept me strong in the industry for a long period now.
Full-stack Java development has everything in it to challenge my intellect and it keeps me motivated to learn every day.
It is a perfect balance between creativity and problem-solving. My specialties include efficient coding, problem-solving, responsive design principals, MVC(Model View Controller) method of organizing code. Wif real-time industry experience, I have my hands on AngularJS, ReactJS, HTML, JAVASCRIPT, jQuery for front-end, Spring framework, SOAP, REST, WSDL, JAX-WS, JAX-RPC for microservices, Ant 1.10, Maven 3.3.9, Gradle 3.4.1, Jenkins build tools, working experience wif both relational and NoSQL databases, JUNIT4.12, TestNG, Mockito testing tools and Log4j monitoring tool. I am currently wrapping my head around learning other frameworks and programming languages to achieve better results.

PROFESSIONAL EXPERIENCE

Confidential

Full Stack Java Developer

Responsibilities:

Involved in analysis, design, and implementation and testing phases of SDLC through Agile Methodology.
Developed applications using Angular6, Java8 and new features of java (lambda expressions).
Good working experience in web Designs which includes HTML5, XHTML, XML, CSS3, JavaScript, jQuery.
Developed UI components using Angular 6 dependency Injection, Models, data binding and controllers.
Implemented Angular 6 Router to enable navigation from one view to next as agent performs application tasks.
Developed Application to assess JSON and XML from Restful web service from consumer side using Angular 6.
Experience wif Responsive Web Design, Bootstrap.
Developed various generic JavaScript, Angular functions to implement client-side validations.
Developed Microservices wif Spring Eureka to retrieve API routes for the entire cluster
Using this strategy each Microservice in a cluster can be load balanced and exposed through one API gateway.
Used Microservice architecture wif Spring Boot based services interacting through a combination of REST and Apache Kafka message brokers.
Experience in handling messaging services using Apache Kafka
Used Spring Security for session fixation, clickjacking, cross site request forgery.
Secured API's by implementing OAuth 2.0 token-based autantication/authorization using Spring Security.
Extensively used various Spring Framework modules like MVC, Spring Boot, Spring Data and AOP.
Implemented the associated business modules integration using Spring and Hibernate data mapping.
Implemented Object-relation mapping using Hibernate framework to fetch the data from Oracle 12c database.
Used Spring MVC Transaction Management, Spring/Hibernate Batch Transactions & Hibernate cache concepts.
Implemented Hibernate Template to great extent making use of HQL, Named Parameters, Named Queries, and interfaces such as Expression, Query and Criteria.
Developed Mongo DB Data Access Layer implementing Mongo Repository interface from Spring Data.
Implemented Spring MVC flow to interact wif different modules and extensively used Spring AOP and Dependency injection during various modules of project.
Developed several REST webservices which produces both XML and JSON to perform tasks, leveraged by both web and mobile applications.
Developed batch processing using Spring Batch in the persistence layer & improved performance of batch processes using Multithreading wif Executor Framework for control of asynchronous tasks in parallel threads.
Developed the Application using design patterns-Singleton, Factory, DAO, DTO prototype and Composite View.
Implemented Java SE8 features like Lambda, Streams and Predicates to reduce the line of code and better functionality in the Service Layer of the application. • Deployed and developed the project using AWS EC2, S3 Buckets, Data pipeline, Elastic Bean Stalk, CloudWatch, AWS Server Migration Service, Lambda, Amazon messaging se

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