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Hadoop/big Data & Java/j2ee Developer Resume


  • Total 9 + years of work experience in Hadoop/Big Data & Java/J2EE technologies.
  • Cloudera Certified Developer for Apache Hadoop & MapR certified in Spark and HBase with around 4+ years of experience in Hadoop distributed file system (HDFS), MapR - FS, MapReduce, Hive, Sqoop, HBase, MAPR-DB, Spark, Pig, Oozie, Flume, Kaftka, Drools, Platfora, DataMeer, Hue & Splunk.
  • Sun Certified Java Programmer with 4+ years of work experience in Java/J2EE technologies.
  • Expertise in full life cycle of software development process including requirement analysis, design, development, implementation, testing and maintenance of the projects in Retail, Airlines, Customer domain & Banking.
  • Adequate knowledge and working experience in Agile & Waterfall methodologies.
  • Expertise in major Hadoop distributions like HortonWorks, Cloudera & MapR.
  • Strong knowledge in using Map reduce programming model for analyzing the data stored in Hadoop.
  • Sound Knowledge in Map side join, Reducer side join, Shuffle & Sort, Distributed Cache, Compression techniques, Multiple Input & output.
  • Worked extensively with HIVE DDLs and Hive Query language (HQLs).
  • Experience in ORC, Parquet, Dynamic Partitions, Bucketing for best practice and performance improvement.
  • Developed UDF, UDAF, UDTF functions and implemented it in HIVE Queries.
  • Experience in Data migration from existing data stores to Hadoop using Sqoop.
  • Experience in data transformation using Spark Sql and Spark with Scala.
  • Experience in streaming the data from HDFS using Spark Streaming .
  • Expertise in HBase - data model, schema design & expose the NoSQL data using Spring Boot REST API.
  • Good experience in integrating drools business rule engine with real-time Big Data technologies like HBase/MapReduce/Spark.
  • Worked on Hive HBase integration.
  • Developed PIG Latin scripts for handling business transformations.
  • Experience in creating reports with DataMeer, Hue, Splunk & Platfora.
  • Knowledge on Kafka, Flume & Cassandra.
  • Utilized Splunk for application logging.
  • Worked extensively in Oozie scheduler to schedule all the Hadoop jobs in the cluster.
  • Experience in UNIX shells scripting.
  • Working knowledge on Tivoli Maestro Scheduler for scheduling Hadoop Jobs.
  • Experience in doing Web Application Development, Deployment, Low level Designing using Java, J2EE (Struts, JSP, Servlet, Spring), RESTful Webservice, Spring Boot Rest API, Oracle, MS Sql and MySQL in MVC Architecture.
  • Experience in working with web/application servers like JBOSS, Apache Tomcat, IBM Web sphere, Oracle Web logic & Sun Glassfish.
  • Experience in DAO framework.
  • Experience in developing front-end using jQuery, JavaScript, HTML and CSS.
  • Experience in SQL programming including complex SQL queries and dynamic queries. .
  • Have enough experience on building and deploying the application into multiple application servers using InstallAnywhere & InstallShield (A multiple platform installer tool).
  • Worked on version control tools like GIT, SVN and Jenkins for Building Packages.


Big Data: HDFS, MapR FS, Yarn, MapReduce framework, Hive, Sqoop, Oozie, Hue, HBase, Pig, MapR-DB, Spark, Platfora, Hue, Kafka, Flume Cassandra Drools, Splunk & Datameer

Programming Languages: JAVA, C, C++, Shell Scripting

J2EE Technologies: HTML, CSS, JavaScript, JQuery, AJAX, JSON, Servlet, JSP,XML, XSLT, XSD, Restful Webservice, Spring Boot.

Frameworks: Struts, Hibernate, Spring & Java Batch Framework

Tools & Utilities: Eclipse, Net beans, WinSCP, Squirrel SQL Client, SQL Developer, Ant, Maven, Putty, SOAP UI, FileZila, Jenkins and log4J, InstallAnywhere & InstallShield

Application/Web Servers: JBoss, Apache Tomcat, IBM Web Sphere, Oracle WebLogic

Databases: Oracle, DB2, MySQL, MS SQL, Hive

Source Control: Git, Subversion, CVS

Software Development Process: Waterfall, Agile Methodology

Operating Systems: MS Windows 2000/NT/XP/Vista/7, Red Hat Linux, Solaris

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