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Hadoop Developer Resume

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Irving, TX

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OBJECTIVE:

  • Seeking a full time position where I can effectively utilize my expertise in computer software and my ability to effectively work with others in order to meet the organization goals.

TECHNICAL SKILLS:

Programming Languages: C, JAVA, Python, HTML, XML, Matlab.

Tools: Microsoft Office Suite, VIP - Planopt, Minitab, Adobe creative packages, Ansys, Auto Cad, Keller Cam, Weibull, Microsoft Project, GAMS, R Studio, Simio, MS Office, MS Project.

Languages: English, French, Hindi, Telugu.

Databases: Microsoft Access, Microsoft SQL, Oracle SQL, IBM DB2.

Hypervisors: VMware Workstation, Oracle Virtual box.

Platforms: Windows, Linux, Macintosh.

PROFESSIONAL EXPERIENCE:

Confidential, Irving TX

Hadoop Developer

Environment: Cloudera 5.x Hadoop, Linux, IBM DB2, HDFS, Yarn, Impala, Pig, Hive, Sqoop, Spark, Scala, MapReduce, Informatica BDM 10

Responsibilities:

  • Imported data from EDI server to HDFS using FTP.
  • Imported and exported data from IBM DB2 to HDFS using Sqoop.
  • Created Hive tables using DDL scripts and loaded them with data using AD-HOC scripts.
  • Extensively used different SerDe’s like Regex, CSV and Json while dealing with different data formats.
  • Used Apache Impala on top of Hive for data processing.
  • Used SparkSql and Scala for lightning fast cluster computing.
  • Performed statistical profiling of data on hive using Informatica BDM.
  • Implementation and development of scripts, builds and provided testing support.
  • Handling environment readiness requests.
  • Change request creation, maintenance and implementation.
  • Worked on constant automation of manual tasks using Shell scripting.

Confidential, Houston TX

Hadoop/Java Developer

Environment: Core Java, XML, JavaScript, Hortonworks 2.x Hadoop, Linux, HDFS, Yarn, HBase, Hive, Pig, Sqoop, MapReduce, Oozie, Zookeeper, Ambari

Responsibilities:

  • Developed MapReduce programs in java for processing datasets.
  • Imported and exported data into HDFS and Hive using Sqoop.
  • Performed data ingestion from various data sources.
  • Created Hive tables, loaded with data, wrote hive queries to test the cases.
  • Used Pig for data transformations, joins, filters and aggregation.
  • Integrated MapReduce with HBase to import bulk amount of data into HBase using MapReduce programs.
  • Scheduled jobs through Oozie and tracked progress.
  • Coordinated and monitored the cluster through Zookeeper and Ambari.
  • Strong knowledge and experience on J2EE, OOPS concepts and Design Patterns.
  • Exposure to complete SDLC with Water Fall and Agile methodologies.

Confidential

Java Developer

Environment: Java, J2EE, Applet, HTML, JavaScript, CSS, Eclipse IDE, NetBeans IDE.

Responsibilities:

  • Analysis of Business Requirement Document and understanding the requirements.
  • Use case analysis of modules involved and flow analysis of existing functionality.
  • Involved in implementation of GUI using JSPs, Servlets, HTML, JavaScript and CSS.
  • Used multithreading and OOPs.
  • Data validation is done at client side using the JavaScript.
  • Participated in code review and integration.
  • Creating the design document and design document review.
  • Executed the test cases and generated the test reports.

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