Hadoop Developer Resume

SUMMARY

Dedicated Software professional wif 3 plus year of track record of successfully delivering results for simple as well as complex projects involving Hadoop/ Big data technologies as well as traditional RDBMS (Oracle and MySQL).
I is usually described as a quick learner wif excellent analytical, problem solving, communication and interpersonal skills wif ability to interact wif individuals at all levels and can work as a part of a team as well as independently.

TECHNICAL SKILLS

Big Data Ecosystems: Hadoop, Spark, SparkSQL, MapReduce, HDFS, Hive, Pig Sqoop, Flume

Programming Languages: Java, Scala, C/C++

Scripting Languages: PHP, JavaScript, XML, HTML, Python

Databases: Oracle, MySQL

Database Tools: Sqliplus, Sqlplus, TOAD

UNIX Tools: Apache, Yum, RPM, Cloudera, Hortonworks

Cloud Tools: AWS, Azure

Tools: Eclipse, JDeveloper, JProbe, CVS, Ant, MS Visual Studio

Platforms: Windows(2000/XP), Linux, Solaris, AIX, HPUX

Testing Tools: NetBeans, Eclipse, WSAD, RAD

PROFESSIONAL EXPERIENCE

Hadoop Developer

Confidential

Responsibilities:

Designed and implemented Hive Application
Written Hive query to process all teh files wif rules defined in HDFS
Developed multiple MapReduce jobs in Java for data cleaning and preprocessing.
Importing and exporting data into HDFS Sqoop.
Troubleshoot and debug Hadoop ecosystem run - time issues
Analyzing TEMPeffected code line objects and design suitable algorithms to address problem

Hadoop Developer

Confidential

Responsibilities:

Installed and configured MapReduce, HIVE and teh HDFS; implemented CDH5 Hadoop cluster on CentOS Assisted wif performance tuning and monitoring.
Created tables to load large sets of structured, semi-structured and unstructured data coming from Mainframe and a variety of portfolios.
Supported code/design analysis, strategy development and project planning.
Created reports for teh BI team using Sqoop to export data into HDFS and Hive.
Collaborated wif teh infrastructure, network, database, application and BI teams to ensure data quality and availability.
Administrator for Pig, Hive and installing updates, patches and upgrades.

Junior Big Data Java Developer

Confidential

Responsibilities:

Importing and exporting data into HDFS and Hive using Sqoop And Flume
Supported Map Reduce Programs using Java those are running on teh cluster
Implemented Partitioning, Dynamic Partitions and Buckets in HIVE for efficient data access
Developed Hive tables to transform, analyze teh data in HDFS