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Senior Hadoop Developer Resume

Atlanta, GA


  • Over 8 years of IT experience in software development and support with experience in developing strategic methods for deploying Big Data technologies to efficiently solve Big Data processing requirement.
  • Expertise in Hadoop eco system components HDFS, Map Reduce, Yarn, HBase, Pig, Sqoop, Spark, Spark SQL, Spark Streaming and Hive for scalability, distributed computing, and high performance computing.
  • Experience in using Hive Query Language for data Analytics.
  • Experienced in Installing, Maintaining and Configuring Hadoop Cluster.
  • Strong knowledge on creating and monitoring Hadoop clusters on Amazon EC2, VM, Horton works Data Platform 2.1 & 2.2, CDH3, CDH4Cloudera Manager on Linux, Ubuntu OS etc.
  • Capable of processing large sets of structured, semi - structured and unstructured data and supporting systems application architecture.
  • Having Good knowledge on Single node and Multi node Cluster Configurations.
  • Strong knowledge in NOSQL column oriented databases like HBase, Cassandra, MongoDB, and Mark Logic and its integration with Hadoop cluster.
  • Expertise on Scala Programming language and Spark Core.
  • Worked with AWS based data ingestion and transformations.
  • Worked with Cloud Break and Blueprint to configure AWS platform.
  • Worked with data warehouse tools like Informatica, Talend .
  • Experienced in job workflow scheduling and monitoring tools like Oozie and Zookeeper.
  • Good knowledge on Amazon EMR, Amazon RDS S3 Buckets, Dynamo DB, Red Shift.
  • Analyze data, interpret results, and convey findings in a concise and professional manner
  • Partner with Data Infrastructure team and business owners to implement new data sources and ensure consistent definitions are used in reporting and analytics
  • Promote full cycle approach including request analysis, creating/pulling dataset, report creation and implementation and providing final analysis to the requestor
  • Good experience on Kafkaand Storm.
  • Worked with Docker to establish connection between Spark and NEO4J database.
  • Knowledge of java virtual machines (JVM) and multithreaded processing.
  • Hands on experience working with ANSI SQL.
  • Strong programming skills in designing and implementation of applications using Core Java, J2EE, JDBC, JSP, HTML, Spring Framework, Spring batch framework, Spring AOP, Struts, JavaScript, Servlets.
  • Experience in build scripts using Maven and do continuous integrations systems like Jenkins.
  • Java Developer with extensive experience on various Java Libraries, API’s and frameworks.
  • Hands on development experience with RDBMS, including writing complex Sql queries, stored procedure and triggers.
  • Very Good understanding of SQL, ETL and Data Warehousing Technologies
  • Knowledge of MS SQL Server 2012/ 2008/2005 and Oracle 11g/10g/9i and E-Business Suite.
  • Expert in TSQL, creating and using Stored Procedures, Views, User Defined Functions, implementing Business Intelligence solutions using SQL Server 2000/2005/2008 .
  • Developed Web-Services module for integration using SOAP and REST.
  • Nosql database experience on HBase, Cassandra, DynamoDB .
  • Flexible with Unix/Linux and Windows Environments working with Operating Systems like Centos 5/6, Ubuntu 13/14, Cosmos.
  • Have sound knowledge on designing data warehousing applications with using Tools like Teradata, Oracle and SQL Server.
  • Experience working with Solr for text search.
  • Experience on using Talend ETL tool.
  • Experience in working with job scheduler like Autosys and Maestro.
  • Strong in databases like Sybase, DB2, Oracle, MS SQL, Click stream.
  • Strong understanding of Agile Scrum and Waterfall SDLC methodologies.
  • Strong Working experience in snowflake.
  • Hands on experience with automation tools such as Puppet , Jenkins, chef, Ganglia, Nagios .
  • Strong communication, collaboration & team building skills with proficiency at grasping new Technical concepts quickly and utilizing them in a productive manner.
  • Adept in analyzing information system needs, evaluating end-user requirements, custom designing solutions and troubleshooting information systems.
  • Strong analytical and Problem solving skills.


Hadoop/Big Data Technologies: HDFS, Map Reduce, Sqoop, Flume, Pig, Hive, Oozie, impala, Spark, Zookeeper and Cloudera Manager, Splunk.

NO SQL Database: HBase, Cassandra

Monitoring and Reporting: Tableau, Custom shell scripts

Hadoop Distribution: Horton Works, Cloudera, MapR

Build Tools: Maven, SQL Developer

Programming & Scripting: JAVA, C, SQL, Shell Scripting, Python, Scala

Java Technologies: Servlets, JavaBeans, JDBC, Spring, Hibernate, SOAP/Rest services

Databases: Oracle, MY SQL, MS SQL server, Teradata

Web Dev. Technologies: HTML, XML, JSON, CSS, JQUERY, JavaScript, angular JS

Version Control: SVN, CVS, GIT

Operating Systems: Linux, Unix, Mac OS X, Cen OS, Windows10, Windows 8, Windows 7, Windows Server 2008/2003


Confidential, Atlanta, GA

Senior Hadoop Developer


  • Installed/Configured/Maintained Apache Hadoop clusters for Analytics, application development and Hadoop tools like Hive, HSQL Pig, HBase, OLAP, Zookeeper, Avro, parquet and Sqoop on Linux ARCH.
  • Responsible for developing data pipeline using Azure HD Insight, flume, Sqoop and pig to extract the data from weblogs and store in HDFS.
  • Installed Oozie workflow engine to run multiple Hive and Pig Jobs, used Sqoop to import and export data from HDFS to RDBMS and vice-versa for visualization and to generate reports.
  • Involved in migration of ETL processes from Oracle to Hive to test the easy data manipulation.
  • Worked in functional, system, and regression testing activities with agile methodology.1
  • Worked on Python plugin on MySQL workbench to upload CSV files.
  • Used Hive to analyze the partitioned and bucketed data and compute various metrics for reporting.
  • Worked with HDFS Storage Formats like Avro, Orc, Parquet .
  • Worked with Accumulo to Modify server side Key Value pairs.
  • Working experience with shiny and R.
  • Working experience with business analytics tools like Microsoft Power BI.
  • Working experience with Vertica, QilkSense, QlikView and SAP BOE.
  • Worked with Nosql databases like HBase, Cassandra, DynamoDB
  • Worked with AWS based data ingestion and transformations.
  • Good experience with Python Pig Sqoop Oozie Hadoop Streaming, Hive and Phoenix.
  • Worked on importing and exporting data from Oracle and DB2 into HDFS and HIVE using Sqoop.
  • Responsible for building scalable distributed data solutions using Hadoop, and responsible for Cluster maintenance, adding and removing cluster nodes, Cluster Monitoring, and Troubleshooting, Manage and review data backups and log files.
  • Developed several new Map Reduce programs to analyze and transform the data to uncover insights into the customer usage patterns.
  • Working experience with the tool Cloud Break and Ambari Blueprint to maintain, configure and scaling of AWS platform.
  • Worked extensively with importing metadata into Hive using Sqoop and migrated existing tables and applications to work on Hive.
  • Extract, Load, and Transfer data through Talend.
  • Responsible for running Hadoop streaming jobs to process terabytes of xml's data, utilized cluster co-ordination services through Zookeeper.
  • Extensive experience in using the MOM with Active MQ, Apache storm, Apache Spark & Kafka Maven and Zookeeper.
  • Wrote the shell scripts to monitor the health check of Hadoop daemon services and respond accordingly to any warning or failure conditions.
  • Worked with Docker to establish connection between Spark and NEO4J database.
  • Having experience working with Devops.
  • Installed and configured Hadoop, Map Reduce, HDFS (Hadoop Distributed File System), developed multiple Map Reduce jobs in java for data cleaning.
  • Having experience in doing structured modeling on unstructured data models.
  • Developed data pipeline using Flume, Sqoop, Pig and Java Map Reduce to ingest customer behavioral data and financial histories into HDFS for analysis.
  • Involved in collecting and aggregating large amounts of log data using Apache Flume and staging data in HDFS for further analysis.
  • Worked on installing cluster, commissioning & decommissioning of Data Nodes, Name Node recovery, capacity planning, and slots configuration.
  • Developed PIG Latin scripts to extract the data from the web server output files to load into HDFS.
  • Worked on Horton works Data Platform (HDP).
  • Worked with SPLUNK to analyze and visualize data.
  • Worked on Mesos cluster and Marathon.
  • Experience working with Integration of data from spark to the NOSQL database like Mark Logic.
  • Used Pig as ETL tool to do transformations, event joins and some pre-aggregations before storing the data onto HDFS.
  • Worked with Orchestration tools like Airflow .
  • Write test cases, analyze and reporting test results to product teams.
  • Good experience on Clojure, Kafka and Storm.
  • Worked with AWS data pipeline.
  • Worked with Elastic Search, Postgres, Apache NIFI.
  • Hadoop workflow management using Oozie, Azkaban, Hamake .
  • Worked with the automation of the streaming process using the puppet tool.
  • Worked on the core and Spark SQL modules of Spark extensively.
  • Worked on Descriptive statistics Using R.
  • Developed Kafka producer and consumers, HBase clients, Spark, shark, Streams and Hadoop Map Reduce jobs along with components on HDFS, Hive.
  • Strong Working experience in snowflake, Click stream.
  • Worked on Hadoop EMC Green plum, Gemstone, Gemfire .
  • Analyzed the SQL scripts and designed the solution to implement using PySpark.
  • Experience using Spark with Neo4Jwhere acquiring the interrelated graphical information of the insurer and to query the data from the stored graphs.
  • Experience in writing batch processing huge Scala programs.
  • Worked with Data warehouse tools to perform ETL using Informatica and Talend.
  • Querying with ANSI SQL which works on oracle SQL.
  • Worked with text file processing using the command line utility Grep and perl scripting.
  • Load and transform large sets of structured, semi structured, and unstructured data using Hadoop/Big Data concepts.
  • Responsible for creating Hive External tables and loaded the data in to tables and query data using HQL.
  • Handled importing data from various data sources, performed transformations using Hive, Map Reduce, and loaded data into HDFS.

Environment: Hadoop Cluster, HDFS, Hive, Pig, Sqoop, OLAP, data modeling, Linux, Hadoop Map Reduce, HBase, Shell Scripting, MongoDB, and Cassandra, Apache Spark,Neo4J.

Confidential, New York, NY

Big Data Software Developer


  • Worked on SQOOP to import data from various relational data sources.
  • Working with Flume in bringing click stream data from front facing application logs
  • Worked on strategizing SQOOP jobs to parallelize data loads from source systems
  • Participated in providing inputs for design of the ingestion patterns.
  • Participated in strategizing loads without impacting front facing applications.
  • Worked on performance tuning of HIVE queries with partitioning and bucketing process.
  • Worked on the core and Spark SQL modules of Spark extensively.
  • Developed Kafka producer and consumers, HBase clients, Spark and Hadoop Map Reduce jobs along with components on HDFS, Hive.
  • Worked with Solr to do the full text search and the Nosql search of the structured and unstructured data.
  • Worked with big data tools like Apache Phoenix, Apache Kylin, Atscale, Apache Hue .
  • Worked with securities like Knox, Apache Ranger, Atlas, sentry, Kerberos.
  • Worked with BI Concepts-Data guru, Talend.
  • Worked in agile environment using Jira, Git.
  • Worked on design on Hive, ANSI data store to store the data from various data sources.
  • Involved in brainstorming sessions for sizing the Hadoop cluster.
  • Involved in providing inputs to analyst team for functional testing.
  • Worked with source system load testing teams to perform loads while ingestion jobs are in progress.
  • Worked with Continuous Integration and related tools (i.e. Nagios, Jenkins, Maven, Puppet, Chef, Ganglia ).
  • Worked on performing data standardization using PIG scripts.
  • Worked with query engines Tez, Apache Phoenix.
  • Worked with Business Intelligent (BI) Concepts and Data Ware housing Technologies using Power BI and R Statistics .
  • Worked on installation and configuration Horton works cluster ground up.
  • Managed various groups for users with different queue configurations.
  • Worked on building analytical data stores for data science team’s model development.
  • Worked on design and development of Oozie works flows to perform orchestration of PIG and HIVE jobs.
  • Worked with Source Code Management Tools GitHub, ClearCase SVN, CVS,
  • Working experience with Testing tools JUNIT / SOAPUI.
  • Experienced in analyzing the SQL scripts and designed the solution to implement using PySpark.
  • Worked with Code Quality Governance related tools ( Sonar, PMD, Find Bugs, Emma, Cobertura , etc)
  • Analyzed the SQL scripts and designed the solution to implement using PySpark.

Environment: Hadoop, HDFS, Map Reduce, Flume, Pig, Sqoop, Hive, Pig, Sqoop, Oozie, Solr, Ganglia, HBase, Shell Scripting, Apache Spark.

Confidential, Harrisburg, PA

Senior Hadoop Developer


  • Worked on Distributed/Cloud Computing (Map Reduce/Hadoop, Hive, Pig, HBase, Sqoop, Spark AVRO, Zookeeper etc.), Cloudera distributed Hadoop (CDH4).
  • Installed and configured Hadoop Map Reduce, HDFS, developed multiple Map Reduce jobs in java for data cleaning and processing.
  • Involved in installing Hadoop Ecosystem components.
  • Importing and exporting data into HDFS, Pig, Hive and HBase using SQOOP.
  • Responsible to manage data coming from different sources.
  • Flume and from relational database management systems using SQOOP.
  • Responsible to manage data coming from different data sources.
  • Developed Pig scripts for data analysis and extended its functionality by developing custom UDF's.
  • Extensive knowledge on PIG scripts using bags and tuples.
  • Experience in managing and reviewing Hadoop log files.
  • Involved in gathering the requirements, designing, development and testing.
  • Worked on loading and transformation of large sets of structured, semi structured data into Hadoop system.
  • Developed simple and complex Map Reduce programs in Java for Data Analysis.
  • Load data from various data sources into HDFS using Flume.
  • Developed the Pig UDF'S to pre-process the data for analysis.
  • Worked on Hue interface for querying the data.
  • Created Hive tables to store the processed results in a tabular format.
  • Developed Hive Scripts for implementing dynamic Partitions.
  • Developed workflow in Oozie to automate the tasks of loading the data into HDFS and pre-processing with Pig.
  • Exported analyzed data to relational databases using SQOOP for visualization to generate reports for the BI team.

Environment: Hadoop (CDH4), UNIX, Eclipse, HDFS, Java, Map Reduce, Apache Pig, Hive, HBase, Oozie, SQOOP and MySQL.

Confidential, Chicago, IL

JAVA/J2EE Developer


  • Involved in the project from requirements gathering and involved in various stages like Design, testing till production following agile methodology.
  • Implemented Spring MVC framework, which includes writing Controller classes for handling requests, processing form submissions and performed validations using Commons Validator.
  • Implemented the business layer by using Hibernate with Spring DAO and developed mapping files and POJO java classes using ORM tool.
  • Designed and developed Business Services using Spring Framework (Dependency Injection) and DAO Design Patterns.
  • Have Knowledge on Spring Batch, which provides Functions like processing large volumes of records, including job processing statistics, job restart, skip, and resource management.
  • Implemented various design patterns in the project such as Business Delegate, Data Transfer Object, Service Locator, Data Access Object, and Singleton.
  • Used Maven Deployment Descriptor Setting up build environment by writing Maven build XML, taking build, configuring, and deploying of the application in all the servers
  • Implementing all the Business logic in the middle-tier using Java classes, Java beans, used JUnit framework for Unit testing of application.
  • Developed web service for web store components using JAXB and involved in generating stub and JAXB data model class based on annotation.
  • Worked on the platforms REST APIs, NodeJS.
  • Developed XML configuration and data description using Hibernate. Hibernate Transaction Manager is used to maintain the transaction persistence.
  • Designed and develop web based application using HTML5, CSS, JavaScript, AJAX, JSP framework.
  • Involved in doing various testing efforts as per the specifications and test cases using Test Driven.
  • Applied MVC pattern of Ajax framework, which involves creating Controllers for implementing Classes.

Environment: JDK5.0, J2EE, Servlets, JSP, spring, HTML, Java Script Prototypes, XML, JSTL, XPath, JQuery, Oracle 10, RAD, TTD, Web Sphere Application, SVN, MAVEN, JDBC, Windows XP, Hibernate.


JAVA/J2EE Developer


  • Involved in Java, J2EE, struts, web services and Hibernate in a fast-paced development environment.
  • Followed agile methodology, interacted directly with the client on the features, implemented optimal solutions, and tailor application to customer needs.
  • Involved in design and implementation of web tier using Servlets and JSP.
  • Used Apache POI for Excel files reading.
  • Developed the user interface using JSP and Java Script to view all online trading transactions.
  • Used JSP and JSTL Tag Libraries for developing User Interface components.
  • Performing Code Reviews.
  • Performed unit testing, system testing and integration testing.
  • Designed and developed Data Access Objects (DAO) to access the database.
  • Used DAO Factory and value object design patterns to organize and integrate the JAVA Objects
  • Coded Java Server Pages for the Dynamic front end content that use Servlets and EJBs.
  • Coded HTML pages using CSS for static content generation with JavaScript for validations.
  • Used JDBC API to connect to the database and carry out database operations.
  • Involved in building and deployment of application in Linux environment.

Environment: Java, J2EE, JDBC, Struts, SQL. Hibernate, Eclipse, Apache POI, CSS.


Software Engineer


  • Used Web Sphere for developing use cases, sequence diagrams and preliminary class diagrams for the system in UML.
  • Extensively used Web Sphere Studio Application Developer for building, testing, and deploying applications.
  • Used Spring Framework based on (MVC) Model View Controller, designed GUI screens by using HTML, JSP.
  • Developed the user interface using the JSP pages and DHTML to design the dynamic HTML pages.
  • Developed Session Beans on Web Sphere for the transactions in the application.
  • Developed the presentation layer and GUI framework in HTML, JSP and Client-Side validations were done.
  • Involved in Java code, which generated XML document, which in turn used XSLT to translate the content into HTML to present to GUI.
  • Implemented XQuery and XPath for querying and node selection based on the client input XML files to create Java Objects.
  • Used Web Sphere to develop the Entity Beans where transaction persistence is required and JDBC was used to connect to the MySQL database.
  • Utilized WSAD to create JSP, Servlets, and EJB that pulled information from a DB2 database and sent to a front-end GUI for end users.
  • In the database end, responsibilities included creation of tables, triggers, stored procedures, sub-queries, joins, integrity constraints and views.
  • Worked on MQ Series with J2EE technologies (EJB, Java Mail, JMS, etc.) on Web Sphere server.

Environment: Java, EJB, IBM Web Sphere Application server, Spring, JSP, Servlets, JUnit, JDBC, XML, XSLT, CSS, DOM, HTML, MySQL, JavaScript, Oracle, UML, Clear Case, ANT.

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