Hadoop Admin/ Developer Resume

PROFESSIONAL SUMMARY:

A competent software professional with 5+ years of experience in the areas of Web Applications & Big data.
Experience on Hadoop administration and development using Core Java, Big data Hadoop, Software & Application Development, Team Management and Client Servicing in the IT sector.
Hands on experience in installing, configuring and using ecosystem components like MapReduce, Hive, Pig, Sqoop, Flume and Oozie.
Good handling of object oriented programming (OOP) and data structures
Experience programming and debugging using Java, C/C++, and MATLAB
Ability to work and program within the UNIX environment
Good exposure in planning, delivery and working at customer location.
Team player with strong analytical, technical, negotiation and client relationship management skills
Good exposure on software Development Life Cycle (SDLC) methodology for application development

TECHNICAL SKILLS:

Skills Languages: Java, pig, C/C++, Matlab, XML, HTML, SQL

Big Data Ecosystem: Hadoop, MapReduce, HDFS, HBase, Hive, Pig, Sqoop, Oozie, and Flume

Operating Systems: Windows, Linux

Technologies: Eclipse, JDBC, RDBMS

PROFESSIONAL EXPERIENCE:

Confidential

Hadoop Admin/ Developer

Responsibilities:

Developed Hadoop MapReduce program to perform custom Quality Check on given data
Involved in loading data from Oracle database into HDFS using Sqoop queries.
Responsible for building scalable distributed data solutions using Hadoop.
Developed Map Reduce pipeline jobs to process the data and create necessary HFiles.
Involved in loading the created HFiles into HBase for faster access of large customer base without taking Performance hit.
Assisted in performing unit testing of Map Reduce jobs using MRUnit.
Used Oozie Scheduler system to automate the pipeline workflow and orchestrate the map reduces jobs that extract the data on a timely manner.
Worked in Loading and transforming large sets of structured, semi structured and unstructured data.
Involved in creating Hive and Hbase tables, loading data and writing queries which will run internally in Map reduce.
Involved in scheduling Oozie workflow engine to run multiple Hive and pig jobs
Structural designing and coding of solution for developing new applications
Performed automation using Oozie, and also integration of Hbase with Hive and pig

Environment: Hadoop, HDFS, Map Reduce, HBase, Pig Latin, Sqoop, Hive, pig, DB2, Oozie, SQL, Java, Web Services.

Confidential

Hadoop Developer/Admin

Responsibilities:

Worked on monitoring cluster, plan for backup - recovery, disaster Planning and other Administration activity.
Developed best practice methodology and documentation to support in different aspect of project.
Install, Configure and maintain Hadoop on Multi clustered environment on Virtual Systems and worked with MapReduce, Hbase, Hive, Pig and PigLatin, Flume, Zookeeper etc.
Created road map for data digesting pipeline to Hadoop HDFS.
Worked as Point of contact for all BigData Implementations.
Create, update and maintain project documents including business requirements, functional and non-functional requirements, functional design, Big Data etc
Wrote MapReduce code to process the data from social feeds which used to come in various formats like TSV, CSV, xml etc. and to load it into Database.

Environment: Hadoop, HDFS, Map Reduce, HBase, Ganglia, Pig Latin, Sqoop, Hive, pig, DB2, Oozie, Flume, Zookeeper.

Confidential, Madison, Mississippi

Junior Java developer

Responsibilities:

Analyzing and fixing Defects and working new enhancements on Confidential products.
Working on new modules from scratch for the new project requirement.
Involved in Core Development of SDLC, majorly in coding unit testing, bug fixing
Implementation of applications using JAVA, J2EE Technologies.
Responsible for writing Domain Classes, Service Classes
Involve in Database as a backend and writing scripts.