Hadoop Developer Resume

PROFESSIONAL SUMMARY:

6.3 years of experience in analyzing requirements, designing, developing and building highly distributed applications using Big Data Hadoop distribution Cloudera (CDH3 & CDH4) and Java technologies.
Acquired Hadoop s from Cloudera and MapR.
Has experience inHDFS, Map Reduce, hive, pig, Sqoop, Kafka, and Spark.
Experience in Designing and ArchitectingHadoop Applicationsand recommending teh right solutions and technologies for teh applications.
Expertise in Object Oriented Analysis, Design and development of applications.
Experience on AGILE, SDLC design methodologies.

TECHNICAL SKILLS:

Hadoop/Bigdata: HDFS, MapReduce, Hive, Pig, Sqoop, Flume, Kafka, Spark.

Bigdata Environments: Cloudera, MapR

Databases: Oracle, MySQL

Languages: Java, SQL, Pig Latin, Scala, HiveQL

Web/Application servers: Apache Tomcat

Tools: and IDE: Eclipse, IntelliJ, DB Visualizer

Version Control: Git

Code Build: Apache Maven

WORK EXPERIENCE:

Confidential

Hadoop Developer

Responsibilities:

Developed a generic data ingestion framework in java and MapReduce to ingest input files into HDFS.
Developed pig script to perform teh transformations for teh data in informatica for shipment and orders file separately.

Environment: Hadoop, HDFS, Hive, pig, MapReduce, Java.

Confidential

Hadoop Developer

Responsibilities:

Implemented generic MapReduce loader to load data from Nas mounts to HDFS.
Involved in creating Hive tables, loading teh data using Hive and in writing Hive queries to analyze teh data.
Wrote complex mapreduce programs in Java for data analysis.
Provided Technical support for production environments resolving teh issues, analyzing teh defects, providing and implementing teh solution defects

Environment: Hadoop, HDFS, Hive, Linux, UNIX Shell Scripting, MapReduce, Java, Oozie, Sqoop, Parquet, Hadoop, Yarn

Confidential

Hadoop Developer

Responsibilities:

Transformed complex netezza queries
Responsible for creating HIVE external tables on teh finalized data in HDFS and partitioning and bucketing teh data
Wrote complex MapReduce programs in Java for data analysis.
Performed Job Scheduling using Oozie.
Gained very good business noledge on different category of products and designs within.

Environment: Hadoop, HDFS, Hive, Oozie, Linux, UNIX Shell Scripting, MapReduce, Java, Sqoop, Parquet, Hadoop, Yarn

Confidential

Hadoop/Java Developer

Responsibilities:

Design and develop features related to teh application related to Hive, user access.
Design and develop web pages.
Identifying unit test cases, preparing unit test plans, implementation, and unit testing.

Environment: Hive, Pig, Java, J2EE, spring, hibernate, MySQL.

Confidential java/Hadoop developer

Responsibilities:

Moved files from input folder to hdfs and developed map reduce code to parse teh logs.
Developed HiveQl to join server log and firewall log to get aggregated network usage information.

Environment: HDFS, MapReduce, Hive, Java,MySQL