Big Data Hadoop Sample Resumes

Big Data Hadoop Sample Resume 2-5 Years Experience


Overview

3 years of experience in software development life cycle design, development, and support of systems application architecture. 

·         More than two years of experience in Hadoop Development/Administration built on six years of experience in Java Application Development. 
Good knowledge of Hadoop ecosystem, HDFS, Big Data, RDBMS. 

 Experienced on working with Big Data and Hadoop File System (HDFS). 

·         Hands on Experience in working with ecosystems like Hive, Pig, Sqoop, Map Reduce, Flume, OoZie. 

·         Strong Knowledge of Hadoop and Hive and Hive's analytical functions. 

·         Capturing data from existing databases that provide SQL interfaces using Sqoop. 

·         Efficient in building hive, pig and map Reduce scripts. 

·         Implemented Proofs of Concept on Hadoop stack and different big data analytic tools, migration from different databases (i.e Teradata, Oracle,MYSQL ) to Hadoop.

·         Successfully loaded files to Hive and HDFS from MongoDB, Cassandra, HBase 

·         Loaded the dataset into Hive for ETL Operation. 

·         Good knowledge on Hadoop Cluster architecture and monitoring the cluster. 

·         Experience in using DBvisualizer, Zoo keeper and cloudera Manager. 

·         Hands on experience in IDE tools like Eclipse, Visual Studio. 

·         Experience in database design using Stored Procedure, Functions, Triggers and strong experience in writing complex queries for DB2, SQL Server. 

·          Experience with Business Objects and SSRS, created Universe, developed many      Crystal reports and webi reports. 

·         Excellent problem solving skills, high analytical skills, good communication and interpersonal skills.

Work Experience

Hadoop Developer

Xyz comapny

February 2013 to Present

Install raw Hadoop and NoSQL applications and develop programs for sorting and analyzing data

Responsibilities: 

·         Replaced default Derby metadata storage system for Hive with MySQL system.  Executed queries using Hive and developed Map-Reduce jobs to analyze data. 

·         Developed Pig Latin scripts to extract the data from the web server output files to load into HDFS. 

·         Developed the Pig UDF's to preprocess the data for analysis. 

·         Developed Hive queries for the analysts

  Utilized Apache Hadoop environment by Hortonworks. 

·         Involved in loading data from LINUX and UNIX file system to HDFS. 

·         Supported in setting up QA environment and updating configurations for implementing scripts with Pig. 

·         Environment: Core Java, Apache Hadoop (Horton works), HDFS, Pig, Hive,        Cassandra, Shell Scripting, My Sql, LINUX, UNIX

Hadoop Developer

abc company,Banglore

March 2012 to January 2013

Import-export data into HDFS format, analyze V=Big data using Hadoop environment, Developed UDFs using Hive, Pig Latin and Java. 

Responsibilities: 

·         Worked on analyzing Hadoop cluster and different big data analytic tools including Pig, Hbase NoSQL database and Sqoop. 

·      Importing and exporting data in HDFS and Hive using Sqoop. 

·      Extracted files from MongoDB through Sqoop and placed in HDFS and processed. 

·      Experience with NoSQL databases. 

·      Written Hive UDFS to extract data from staging tables. 

·      Involved in creating Hive tables, loading with data and writing hive queries which will run internally in map reduce way. 

·      Familiarized with job scheduling using Fair Scheduler so that CPU time is well distributed amongst all the jobs. 

Involved in the regular Hadoop Cluster maintenance such as patching security      holes and updating system packages. 

·      Managed Hadoop log files. 

·      Analyzed the web log data using the HiveQL. 

·      Environment: Java 6, Eclipse, Hadoop, Hive, Hbase, MangoDB, Linux, Map Reduce, HDFS, Shell Scripting, Mysql

Education:
Master of Engineering
Jntu 2011

Technical Skills

Programming Language: Java, C++, C, SQL, Python 

Java Technologies: JDBC,JSP, Servlets 

RDBMS/NoSQL: SQL server, DB2, HBase, Cassandra, MangoDB 

Scripting: Shell Scripting 

IDE: Eclipse, Netbeans 

Operating Systems: Linux, UNIX, Windows 98/00/xp 

Hadoop Ecosystem: Map Reduce, Sqoop, Hive, Pig, Hbase,Cassandra, HDFS, Zookeeper