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Software Engineer Resume

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SUMMARY:

  • I have 4 years of experience working in the IT industry as a software developer
  • 4+ years of experience in complete SDLC that includes requirement analysis, planning and design, development, testing and deployment and also maintenance and bug fixing.
  • Having 2+ years of experience in Development of various Web based Applications and Database Applications.
  • Having good knowledge of BIG DATA Concepts and hands on experience on Hadoop ecosystems.
  • 2+ years working experience in Hadoop ecosystem like MapReduce,HBase and Hive.
  • Extensive experience in Java,Servlets, JSP, Struts,Spring.
  • Extensive experience in Struts and Spring frameworks.
  • Strong exposure on Junit, Log4j and MyEclipse
  • Strong exposure on MVC Architecture.
  • Working Experience in Supporting Projects.
  • 2+ years of working experience with Agile/Scrum development methodologies in projects.
  • Experience includes configuration management tools - Accurev and GIT.
  • 2+ years of knowledge working in the Healthcare domain
  • Good communication and interpersonal skills, capability to learn fast and assume any responsibilities.

TECHNICAL SKILLS:

Languages: C, C++, Java

Frameworks: Struts, Spring Junit, and Log4J

Technologies: JSP, Servlets, HTML, XML JavaScript, Hadoop and it s Eco Systems - HDFS, MapReduce, Crunch,Hive, HBase, oozie, Spark and Sqoop

Databases: Oracle, MySQL, Hadoop Ecosystem - HDFS,HBase

Tools: Maven Eclipse IDE, Microsoft Visual Source Safe Putty, WinSCP,Acuurev, GIT

OS: Windows XP/7/8

PROFESSIONAL EXPERIENCE:

Software Engineer

Confidential

Responsibilities:

  • Analyzing the functional user stories.
  • Requirement gathering and analyzing and coordination with team
  • Effectively involved in development of each functional use cases in team as well as independently.
  • Participating in scheduling and planning the daily activities
  • Automated workflows for BigData mining using macros to manipulate data in Excel format
  • Load and transform large sets of structured and unstructured data, build predictive models.
  • Worked extensively with Sqoop for importing and exporting the data from HDFS to Relational Database systems and vice-versa. Loading data into HDFS.
  • Prototyping on reusable component
  • Effectively involved in release activities for each sprint deliverables
  • Worked on enhancements and bug fixes
  • Work with project team to do end to end code integration.
  • Documenting the project work

Confidential

Technology: Java, Hadoop (HDFS,HBase)

Software Developer

Responsibilities:

  • Analyzing the functional user stories.
  • Requirement gathering and analyzing and coordination with team
  • Effectively involved in development of each functional use cases in team as well as independently.
  • Designed, developed BigData solutions to achieve business goals
  • Installed, managed and monitored Hadoop cluster
  • Coded MapReduce programs to process various types of data files
  • Load and managed data from various sources
  • Developed scripts jobs to schedule Hadoop Map reduce program
  • Participating in scheduling and planning the daily activities
  • Prototyping on reusable component
  • Effectively involved in release activities for each sprint deliverables
  • Work with project team to do end to end code integration

Confidential

Technology: Hadoop, Java Map Reduce Programming

Software Developer

Responsibilities:

  • Identify use cases on reusable components.
  • Setting up Hadoop environment and do environment validation
  • Effectively involved in development and handled complete software configuration required to develop the tool
  • Participating in scheduling and planning the daily activities
  • Requirement gathering and analyzing and coordination with team
  • Prototyping on reusable component
  • Work with project team to test the reusable components

Confidential

Technology: Hadoop (Hive), Java Map Reduce Programming

Software Developer

Responsibilities:

  • Identify business use cases that needs to be used for engineering and trouble shooting
  • Identify business rules for data processing using Map reduce jobs
  • Identify reporting needs to store data in Hive tables
  • Requirement gathering and analyzing and coordination with team
  • Map Reduce code development, unit testing
  • Identifying potential re-usable components for process automation
  • Work with project team to do end to end code integration

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