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Tech Lead & Hadoop Developer Resume

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Ashburn, VA

SUMMARY

  • Over 8+ years of professional IT experience which includes experience in Bigdata, Hadoop ecosystem related technologies in Banking, Retail, Insurance and Communication sectors.
  • 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, Flume and Avro.
  • Excellent understanding and knowledge of NOSQL databases like MongoDB, HBase, Cassandra, and SOLR/Lucene.
  • Responsible for setting up processes for Hadoop based application design and implementation.
  • Experience in importing and exporting data using Sqoop from HDFS to Relational Database Systems and vice - versa.
  • Good understanding of Data Structures and Algorithms.
  • Experience in managing and reviewing Hadoop log files.
  • Very good experience in complete project life cycle (design, development, testing and implementation) of Client Server and Web applications.
  • Experience in Object Oriented Analysis, Design (OOAD) and development of software using UML Methodology, good knowledge of J2EE design patterns and Core Java design patterns.
  • Experience in managing Hadoop clusters using Cloudera Manager tool.
  • Hands on experience in application development using Java, RDBMS, and Linux shell scripting.
  • Extensive expertise on development using SQL and PL/SQL
  • Extensive expertise working in Oracle, DB2, SQL Server and My SQL database.
  • Experience in Java, JSP, Servlets, EJB, WebLogic, WebSphere, Hibernate, Spring, JBoss, JDBC, RMI, Java Script, Ajax, Jquery, XML, and HTML
  • Knowledge on Unix and Database administration.
  • Determined, committed, hardworking with strong communication, interpersonal and organizational skills.
  • Ability to work in a team and coordinate/resolve issues with team of developers and other stakeholders.

TECHNICAL SKILLS

Big Data/Hadoop: HDFS, Hadoop MapReduce, Zookeeper, Hive, Pig, Sqoop, Flume, Oozie.

Languages: C, C++, Java 6, PHP, SQL/PLSQL, Python, Perl, Shell Scripting

Methodologies: Agile, V-model, Waterfall model

Databases: HBase, MongoDB, Cassandra, Oracle 10g, MySQL, Couch, MS SQL server

Web Tools/Frameworks: HTML, Java Script, XML, ODBC, JDBC, Java Beans, EJB, MVC, Ajax, JSP, Servlets, Struts, Junit, REST API, Spring, Hibernate

PROFESSIONAL EXPERIENCE

Confidential, Ashburn, VA

Tech Lead & Hadoop Developer

Responsibilities:

  • Worked on analysing Hadoop cluster and different big data analytic tools including Pig,Hive Hbase database and Sqoop
  • Responsible for building scalable distributed data solutions using Hadoop
  • Installed and configured Flume, Hive, Pig, Sqoop, HBase on teh Hadoop cluster.
  • Managing and scheduling Jobs on a Hadoop cluster using Oozie.
  • Implemented nine nodes CDH4 Hadoop cluster on Ubuntu LINUX.
  • Worked on installing cluster, commissioning & decommissioning of datanode, namenode recovery, capacity planning, and slots configuration.
  • Setup Hadoop cluster on Amazon EC2 using whirr for POC.
  • Resource management of HADOOP Cluster including adding/removing cluster nodes for maintenance and capacity needs
  • Involved in loading data from UNIX file system to HDFS.
  • Created HBase tables to store variable data formats coming from different portfolios.
  • Implemented various requirements using Pig scripts.
  • Implemented test scripts to support test driven development and continuous integration.
  • Responsible to manage data coming from different sources.
  • Installed and configured Hive and also implemented various business requirements by writing Hive UDFs.
  • Experienced on loading and transforming of large sets of structured, semi structured and unstructured data.
  • Cluster coordination services through Zookeeper.
  • Experience in managing and reviewing Hadoop log files.
  • Exported teh analysed data to teh relational databases using Sqoop for visualization and to generate reports for teh BI team.
  • Analysed large amounts of data sets to determine optimal way to aggregate and report on it.
  • Supported in setting up QA environment and updating configurations for implementing scripts with Pig and Sqoop.

Environment: Hadoop, HDFS, Hive, Flume, HBase, Sqoop, PIG, Java (JDK 1.6), Eclipse, MySQL and Ubuntu, Zookeeper

Confidential, Richmond VA

Java/Hadoop Developer

Responsibilities:

  • Involved in review of functional and non-functional requirements.
  • Installed and configured Hadoop Mapreduce, HDFS, Developed multiple MapReduce jobs in java for data cleaning and preprocessing.
  • Installed and configured Pig and also written PigLatin scripts.
  • Wrote MapReduce job using Pig Latin.
  • Have solid understanding of REST architecture style and its application to well performing web sites for global usage.
  • Involved in ETL, Data Integration and Migration
  • Imported data using Sqoop to load data from Oracle to HDFS on regular basis.
  • Developing Scripts and Batch Job to schedule various Hadoop Program.
  • Written Hive queries for data analysis to meet teh business requirements.
  • Creating Hive tables and working on them using Hive QL.
  • Importing and exporting data into HDFS from Oracle Database and vice versa using Sqoop.
  • Experienced indefining jobflows.
  • Got good experience with NOSQL database HBase, MongoDB.
  • Hybrid implementation using Oracle and MongoDB.
  • Involved in creating Hive tables, loading teh data and writing hive queries that will run internally in a map reduce way.
  • Developed a custom FileSystem plugin for Hadoop so it can access files on Data Platform.
  • Teh custom FileSystem plugin allows Hadoop MapReduce programs, HBase, Pig and Hive to work unmodified and access files directly.
  • Designed and implemented Mapreduce-based large-scale parallel relation-learning system
  • Extracted feeds form social media sites such as Facebook, Twitter using Python scripts.
  • Setup and benchmarked Hadoop/HBase clusters for internal use

Environment: Hadoop, MapReduce, HDFS, Hive, Java, Hadoop distribution of Cloudera, Pig, HBase, Linux, XML, Java 6, Eclipse, Oracle 10g, PL/SQL, MongoDB, Toad

Confidential, San Francisco, CA

Java/Hadoop Developer

Responsibilities:

  • Installed and configured Hadoop MapReduce, HDFS, Developed multiple MapReducejobs in java for data cleaning and preprocessing.
  • Importing and exporting data into HDFS and Hive using Sqoop.
  • Experienced in defining job flows.
  • Experienced in managing and reviewing Hadooplog files.
  • Load and transform large sets of structured, semi structured and unstructured data.
  • Responsible to manage data coming from different sources.
  • Responsible for implementing MongoDB to store and analyze unstructured data.
  • Supported Map Reduce Programs those are running on teh cluster.
  • Involved in loading data from UNIX file system to HDFS.
  • Installed and configured Hive and also written Hive UDFs.
  • Involved in creating Hive tables, loading with data and writing hive queries that will run internally in map reduce way.
  • Implemented CDH3 Hadoop cluster on CentOS.
  • Worked on installing cluster, commissioning & decommissioning of datanode, namenode recovery, capacity planning, and slots configuration.
  • Created HBase tables to store variable data formats of PII data coming from different portfolios.
  • Implemented best income logic using Pig scripts.
  • Load and transform large sets of structured, semi structured and unstructured data
  • Cluster coordination services through Zookeeper.
  • Exported teh analyzed data to teh relational databases using Sqoop for visualization and to generate reports for teh BI team.
  • Supported in setting up QA environment and updating configurations for implementing scripts with Pig and Sqoop.
  • Designed teh logical and physical data model, generated DDL scripts, and wrote DML scripts for Oracle 9i database
  • UsedHibernateORM framework withSpringframework for data persistence and transaction management
  • Used struts validation framework for form level validation
  • Wrote test cases in JUnit for unit testing of classes
  • Involved in templates and screens in HTML and JavaScript

Environment: Hadoop, MapReduce, HDFS, Hive, Java, SQL, PIG, Zookeeper, MongoDB, Sqoop, CentOS, SOLR. Struts 1.3, JSP, Servlets 2.5, WebSphere 6.1, HTML, XML, JavaScript

Confidential, Lansing, MI

Java/J2EE Interface Developer

Responsibilities:

  • Created Use case, Sequence diagrams, functional specifications and User Interface diagrams using Star UML.
  • Involved in complete requirement analysis, design, coding and testing phases of teh project.
  • Participated in JAD meetings to gather teh requirements and understand teh End Users System.
  • Developed user interfaces using JSP, HTML, XML and JavaScript.
  • Generated XML Schemas and used XML Beans to parse XML files.
  • Created Stored Procedures & Functions. Used JDBC to process database calls for DB2/AS400 and SQL Server databases.
  • Developed teh code which will create XML files and Flat files with teh data retrieved from Databases and XML files.
  • Created Data sources and Helper classes which will be utilized by all teh interfaces to access teh data and manipulate teh data.
  • Developed web application called iHUB (integration hub) to initiate all teh interface processes using Struts Framework, JSP and HTML.
  • Developed teh interfaces using Eclipse 3.1.1 and JBoss 4.1 Involved in integrated testing, Bug fixing and in Production Support

Environment: Java 1.3, Servlets, JSPs, Java Mail API, Java Script, HTML, MySQL 2.1, Swing, Java Web Server 2.0, JBoss 2.0, RMI, Rational Rose, Red Hat Linux 7.1.

Confidential

Java/J2EE developer

Responsibilities:

  • DesignedanddevelopedStruts like MVC 2 Webframework using teh front-controller design pattern, which is used successfully in a number of production systems.
  • Normalized Oracle database, conforming to design concepts and best practices.
  • Resolvedproduct complications at customer sites and funneled teh insights to teh development and deployment teams to adopt long term product development strategy with minimal roadblocks.
  • Convinced business users and analysts with alternative solutions that are more robust and simpler to implement from technical perspective while satisfying teh functional requirements from teh business perspective.
  • Played a crucial role in developing persistence layer.
  • Developed Database applications using SQL and PL/SQL
  • Applied design patterns and OO design conceptsto improve teh existing Java/J2EE based code base.
  • Identified and fixed transactional issues due to incorrect exception handling and concurrency issues due to unsynchronized block of code.

Environment: Java 1.2/1.3, Swing, Applet, Servlet, JSP, custom tags, JNDI, JDBC, XML, XSL, DTD, HTML, CSS, Java Script, Oracle, DB2, PL/SQL, Weblogic, JUnit, Log4J and CVS.

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