SUMMARY

• Experience in implementing Micro services with Spring Boot.
• Excellent knowledge on all stages of Software Development Life cycle (SDLC) which includes Architecture, Analysis, Design, Development, Testing, Integration testing, Implementation, Migration and Production Support. Well versed in domains Travel and Banking & Finance.
• Good knowledge on Java Design Patterns, Data Structures, Algorithms and Object - Oriented Programming.
• Experience in Software methodologies like Agile (SCRUM) and Waterfall.
• Solid knowledge on Core Java including Java 1.8 features like Lambda expressions, functional interfaces, Data Time API and Parallel Streams.
• Experience in developing Junit test cases & Integration testing with testing frameworks like JUnit, Mockito.
• Knowledge on Data Analytics and Big Data technologies Apache Kafka and Hadoop.
• Skilled in UI technologies like HTML5, CSS3, Boot Strap, TypeScript & Angular (version 6.0).
• Good Knowledge on Build Automation tools like Maven and Gradle.
• Expert in using CI/CD DevOps tools using Jenkins.
• Expertise in using Version Controls like GIT and SVN.
• Good knowledge on using JIRA and Confluent.

TECHNICAL SKILLS

Domain: Spring Boot, Kafka, Spark, Hadoop.

Programming Languages: Java, TypeScript

Operating System / ERP Version: Linux, UNIX, Mac, Windows 7/8/10.

DB: Oracle, MySQL, MS SQL Server, Mongo DB

PROFESSIONAL EXPERIENCE

Confidential

Scrum Master

Responsibilities:

• Involved in analysis, specification, design, implementation, testing and production support phases of Software Development Life Cycle (SDLC) and used agile methodology (SCRUM).
• JIRA and Confluence suite of products, Rally are used for managing and tracking Agile stories.
• Designed event driven framework using RESTful web services, Micro services and Apache Kafka.
• Used Spring Boot for building Micro services and RESTFul API’s with very less configuration.
• Used Java8 technologies like Functional Interfaces, DataTime API, Lambda & Stream API.
• Test driven development using Junit, Mokito framework.
• Developed internal Application using Angular.
• Used Kafka tool for connecting to Zookeeper and Kafka servers for managing the topics and partitions.
• Sonar tool used for test coverage & coding standards. Coverity tool used for code security.
• Implemented Angular Services, Interceptors and custom directives, pipes, routing, http calls in the application.

Confidential

Software Engineer

Responsibilities:

• Developed application using Java/J2EE platform. Implemented the Model View Control (MVC) structure
• Created DAO classes to implement CRUD operations by using Spring data.
• Applied Object-Oriented Programming (OOP) principles by using Interface, Abstract, Overriding and Overloading.
• Used Advanced Core Java concepts of Collections, Generics, Multithreading, Synchronization for Design Patterns
• Applied Java Collections such as HashMap, List to store data.
• Used Java File/IO to generate documents.
• Implemented Log4j and Swagger technology for a broader perspective of the project
• Developed test classes in JUnit for unit testing.
• Used Postman to test the RESTful API for HTTP requests such as GET, POST, and PUT.
• Implemented Angular Services, Interceptors and custom directives, pipes, routing, http calls in the application.
• Used GIT for version control tool for merging branches and used Source tree to solve conflicts.

Confidential

Hadoop Engineer

Responsibilities:

• Evaluated suitability of Hadoop and its ecosystem to the above project and implementing / validating with various proof of concept (POC) applications to eventually adopt them to benefit from the Big Data Hadoop initiative. .
• Experience in using Sqoop to migrate data to and from HDFS and MySQL or Oracle and deployed Hive and HBase integration to perform OLAP operations on HBase data.
• Used Flume in Loading log data into HDFS.
• Created Hive managed and external tables.
• Responsible for building scalable distributed data solutions using Hadoop.
• Imported and exported terabytes of data using Sqoop from Relational Database Systems to HDFS.
• Involved in Hive performance optimizations like partitioning, bucketing and perform different types of joins on Hive tables and implementing Hive serdes like JSON and Avro.
• Designed and implemented Map Reduce-based large-scale parallel relation-learning system.
• Worked on installing cluster, commissioning & decommissioning of data node, name node recovery, capacity planning, and slots configuration.
• Involved in loading data from Linux file system to HDFS.
• Installed and configured Pig for ETL jobs. Written Pig scripts with regular expression for data cleaning.
• Created custom user defined functions in Python language for Pig.
• Creating Hive external tables to store the Pig script output. Working on them for data analysis in order to meet the business requirements.
• Used Zookeeper for providing coordinating services to the cluster.
• Used Oozie Scheduler system to automate the pipeline workflow and map reduces jobs that extract the data on a timely manner.
• Experienced in managing and reviewing Hadoop log file.