PROFFESIONAL SUMMARY:

• Over 6 years of overall IT experience in a variety of industries, which includes hands on experience of 3+ years in Big Data technologies and designing and implementing Map Reduce.
• Well versed in installation, configuration, supporting and managing of Big Data and underlying infrastructure of Hadoop Cluster.
• Hands on experience on major components in Hadoop Ecosystem like Hadoop Map Reduce, HDFS, HIVE, PIG, HBase, Zookeeper, Sqoop, Oozie and Flume.
• Experience and responsible for functional as well as technical track of a project.
• Experience in developing Pig scripts and Hive Query Language.
• Experience writing custom UDFs in pig and hive based on the user requirement.
• Experience in storing, processing unstructured data using NOSQL databases like HBase, Cassandra.
• Written Hive queries for data analysis and to process the data for visualization.
• Experience in managing and reviewing Hadoop Log files.
• Experience in importing and exporting the different formats of data into HDFS, HBASE from different RDBMS databases and vice versa.
• Very good experience in complete project life cycle (design, development, testing and implementation) of Client Server and Web applications.
• Excellent Java development skills using J2EE, J2SE, Servlets, JSP, EJB, JDBC.
• Hands on experience on IDE tools like Eclipse, NetBeans, Visual Studio
• Good interpersonal and communication skills. Team player with strong problem solving skills.

SKILLS:

Hadoop/Big Data HDFS, MapReduce, Pig, Hive, HBase, Sqoop, Oozie, Flume, Spark, YARN, Java & J2EE Technologies Core Java. Hibernate, Spring, JSP, Servlets, Java Beans, JDBC, Oracle, MySQL, DB2, Windows … UNIX, Mac OS, Putty, WinScp, Stream weaver.: PROFESSIONAL EXPERIENCE:Hadoop DeveloperConfidential, Dallas, TX

Responsibilities:

• Responsible for building scalable distributed data solutions using Hadoop.
• Developed job processing scripts using Oozie workflow.
• Installed and configured Hive, Pig, Sqoop, Flume and Oozie on the Hadoop cluster.
• Developed Simple to complex Map/reduce Jobs using Hive and Pig.
• Involved in Hadoop cluster task like commissioning & decommissioning Nodes without any effect to running jobs and data.
• Wrote Map Reduce jobs to discover trends in data usage by users.
• Involved in running Hadoop streaming jobs to process terabytes of text data.
• Job management using Fair scheduler.
• Worked extensively with Sqoop for importing metadata from Oracle.
• Involved in creating Hive tables, and loading and analyzing data using hive queries.
• Designed, developed and did maintenance of data integration programs in a Hadoop and RDBMS environment with both traditional and non - traditional source systems as we as RDBMS and NoSQL data stores for data access and analysis.
• Experienced in running Hadoop streaming jobs to process terabytes of xml format data.
• Load and transform large sets of structured, semi structured and unstructured data.
• Responsible to manage data coming from different sources.
• Assisted in exporting analyzed data to relational databases using Sqoop.
• Wrote Hive Queries and UDF's.
• Developed Hive queries to process the data and generate the data cubes for visualizing.
• Created Pig Latin scripts to sort, group, join and filter the enterprise wise data.
• Implemented Partitioning, Dynamic Partitions, Buckets in HIVE.
• Gained experience in managing and reviewing Hadoop log files.

Environment: Hadoop, MapReduce, Sqoop, HDFS, Hive, Pig, Oozie, Spark, Java, Oracle 10g, MySQL.

Hadoop Developer

Confidential, Plano,TX

Responsibilities

• Worked on analyzing Hadoop cluster using different big data analytic tools including Pig, Hive and Map Reduce.
• Collecting and aggregating large amounts of log data using Apache Flume and staging data in HDFS for further analysis.
• Real time streaming the data using Spark.
• Configured Spark streaming to receive real time data from the Kafka and store the stream data to HDFS using Scala.
• Worked on debugging, performance tuning of Hive & Pig Jobs.
• Implemented test scripts to support test driven development and continuous integration.
• Worked on tuning the performance of Pig queries.
• Involved in loading data from LINUX file system to HDFS.
• Importing and exporting data into HDFS using Sqoop.
• Experience working on processing unstructured data using Pig.
• Implemented Partitioning, Dynamic Partitions, Buckets in Hive.
• Supported Map Reduce Programs those are running on the cluster.
• Gained experience in managing and reviewing Hadoop log files.
• Involved in scheduling Oozie workflow engine to run multiple pig jobs.
• Involved in using HCATALOG to access Hive table metadata from Map Reduce or Pig code.
• Computed various metrics using Java Map Reduce to calculate metrics that define user experience, revenue etc.
• Installed and configured Hive.
• Exported the result set from Hive to MySQL using Shell scripts.
• Implemented SQL, PL/SQL Stored Procedures.
• Actively involved in code review and bug fixing for improving the performance.

Environment: Hadoop, HDFS, Pig, Hive, Map Reduce, Sqoop, LINUX, Cloudera, Big Data, Java APIs, Java collection, SQL, NoSQL, HBase.

Java Developer

Confidential, Dallas, TX

Responsibilities:

• Played a very vital role starting from Requirements analysis, designing the Presentation templates and CTDs based on the business expectations.
• Actively participated in meetings with Business Analysts and Architects to identify the scope, requirements and architecture of the project.
• Followed MVC model and used spring frameworks for developing the Web layer of the application.
• Developed application using Spring MVC, JSP, JSTL and AJAX on the presentation layer, the business layer is built using spring and the persistent layer uses Hibernate.
• Developed User Interface and web page screens for various modules using JSF, JavaScript, and AJAX using RAD.
• Developed interfaces and their implementation classes to communicate with the mid-tier (services) using JMS.
• Extensively used JavaScript to provide dynamic User Interface and for the client side validations.
• Used AJAX framework for asynchronous data transfer between the browser and the server.
• Extensively used Java Multi-Threading concept for downloading files from a URL. Involved in developing XML compilers using XQuery.
• Written Java classes to test UI and Web services through JUnit.
• Performed functional and integration testing, extensively involved in release/deployment related critical activities. Responsible for designing Rich user Interface Applications using JSP, JSP Tag libraries, Spring Tag libraries, JavaScript, CSS, HTML.
• Used spring, Hibernate module as an Object Relational mapping tool for back end operations over SQL database.
• Developed the business components using EJB Session Beans.
• Involved in Database design for new modules and developed the persistence layer based on Hibernate.
• Implemented the J2EE design patterns Data Access Object (DAO), Session Façade and Business Delegate.

Environment: Java, J2EE, JSP, Spring, Hibernate, CSS, JavaScript, Oracle, Eclipse, JUnit, Web services, JNDI, JMS, HTML, XML, XSD, XML Schema.

Java/J2EE developer

Confidential

Responsibilities:

• Analyzed Business Requirements and identified mapping documents required for system.
• Performed requirement gathering, analyzing and negotiating customer requirements.
• Hands on experience on IDE tools like RAD (Rational Application Developer) and Eclipse.
• Responsible for creating, sending and receiving messages by using SOAP protocols.
• Configured Hibernate and spring through required configuration and XML files.
• Extensively used Spring Inversion-of-Control for Dependency Injection.
• Experience with WebSphere, Apache and IBM HTTP.
• Used Log4j for logging and JUnit for Unit Testing.
• Involved with writing SQL queries using Joins and Stored Procedures.
• Experience in Waterfall Software Development Lifecycle Model.

Environment: Servlet, Struts, Hibernate, Junit and DB2