About

Arpit Agrawal is an experienced Java developer with 8.8 years of experience in developing web-based applications. He has a strong understanding of Object Oriented Design/Analysis and programming concepts. Arpit has exposure in creating REST and Soap APIs and optimizing server-side code performance. He has worked in a SCRUM Team following AGILE methodology for SDLC. Arpit's core technical skills include J2EE, JSP, Servlets, Spring (Boot, MVC, IOC, DI, JDBC template, AOP, Spring Security), Hibernate, JPA, Java, JavaScript, REST (Jersey, Rest Easy), SOAP, XML-RPC, UCIP, MySQL, Oracle, MongoDB, Apache Tomcat, Eclipse, GGTS, STS, Maven, Ant, Gradle, Agile Scrum, TDD, Design Patterns, J Unit, DbUnit (for testing DAO calls), Sonar Lint plugin, SureFire Maven plugin for J UNIT test cases, PMD tool, Sonar Qube, and Jenkins. Arpit has won several awards for his expertise in Core Java, Spring, Rest, SOAP, and MySQL for Developers on mettle.com. He has also received On Spot awards from clients in Coforge and Global logic for implementing Elastic Search in AWS. Currently, Arpit is working as a Tech Lead at Clover. Previously, he worked as an Associate Consultant at Globallogic, where he gained experience in AWS (Step Function for Orchestration workflow, Lambdas, PinPoint integration for SMS, AWS Cognito (For User Authentication), API Gateway, AWS Elastic Search), Listrak Integration (Responsible for sending Emails), CloudWatch (for capturing Event Logging logging), DataDog (For watching Distributed Logs of MS), Lambda Authorizers, S3, Event Bridge (For Scheduling of Lambda invocation), Integrating AWS Elastic search, MSK (Kafka Streams), Insurance Business Domain - Claims, NonPay, Policy Flow, Integration with Sapiens System and Listrak, and Third-Party Integrations: Sapiens, Listrak, GhostDraft (Document Management Service). Arpit has also worked as a Technical Analyst at Coforge, where he gained experience in integrating the application with Amazon Alexa, enhancements in Facebook Messenger API using GraphQL, and worked on Inbenta (NLP engine), and worked on JSF. He has onsite experience in Qatar and the UK and has working knowledge to build Jenkins