Big Data Hadoop Developer/Administrator Resume Los Angeles, CA - Hire IT People

SUMMARY:

A detail - oriented professional having over 5 years of IT Experience.
1.5 years’ experience in providing Solution Architecture for Big Data projects using Hadoop Eco System. Experienced in setting up of Hadoop cluster (Amazon EC2, CDH3, CDH4, HDP), Performance Tuning, Developing Logical & Physical Data Models using HIVE for Analytics, File processing using PIG, and Data load management using SQOOP.
Experience creating reports using Tableau.
Experience wif Cloud era Manager.
Excellent interpersonal, communication skills and a very good team player willing to take on new and varied projects and an ability to handle changing priorities and deadlines.

TECHNICAL SKILLS:

Big Data: Hadoop, Hive, Sqoop, Pig, Puppet, Ambari, Hbase, Flume

Web Servers: Amazon EC2, Microsoft Azure

Hadoop Distribution: Cloudera,Hortonworks,Apache

Query Languages: HiveQL, SQL, PL/SQL, Pig

Databases: Oracle, SQL Server and MS Access

Programming Languages: Java Script, HTML and ASP

GUI Tools: Visual Basics 5.0 and .Net

BI Reporting Tools: Tableau, Crystal Reporting and Power Pivot

Operating System: Red-Hat Linux, Ubuntu and Windows,Unix, Linux,CentOS

PROFESSIONAL EXPERIENCE:

Confidential, Los Angeles, CA

Big Data Hadoop Developer/Administrator

Responsibilities:

Creating Python Scripts and verifying them.
Creating Hive Tables and Views.
Creating Pig Scripts.
Administering teh Hadoop Cluster in EC2.
End to End testing of all teh scripts and document teh time taken for completing one round of initial load and delta loads.
Documenting teh Solution Architecture.
End-User .

Environment: Hadoop (HDFS) multi-node installation, Map Reduce, AWS, Hive, UNIX Shell Scripting, Python.

Confidential, Dallas, TX

Big Data Hadoop Developer/Administrator

Responsibilities:

Apache Hadoop installation & configuration of multiple nodes on AWS EC2 system
Setup and optimize Standalone-System/Pseudo-Distributed/Distributed Clusters
Build/Tune/Maintain Hive QL and Pig Scripts for user reporting
Developed MapReduce Programs
Experienced in defining job flows
Experienced in managing and reviewing Hadoop log files
Supported MapReduce Programs running on teh cluster
Involved in loading data from UNIX file system to HDFS
Installed and configured Hive.
Involved in creating Hive tables, loading data, and writing Hive queries
Develop Shell scripts to automate routine DBA tasks (i.e. database refresh, backups, monitoring)
Tuned/Modified SQL for batch and online processes

Environment: Hadoop (HDFS) multi-node installation, Map Reduce, AWS, Hive, flume, Java, JDK, Flat Files,PL SQL, UNIX Shell Scripting

Confidential, Dallas, TX

Hadoop Developer

Responsibilities:

Analyzed teh Functional Specifications.
Installed and configured HDFS, PIG, HIVE, Hadoop MapReduce
Writing Pig scripts to process teh data.
Importing and exporting data into HDFS and Hive using Sqoop.
Written Hive queries for data analysis to meet teh Business requirements.
Load and transform large sets of structured, semi structured and unstructured data.
Responsible to manage data coming from different sources.
Got good experience wif NOSQL database.
Involved in loading data from UNIX file system to HDFS.
Supported MapReduce Programs those are running on teh cluster.
Involved in creating Hive tables, loading wif data and writing hive queries which will run internally in MapReduceway.

Environment: Hadoop, HDFS, Hive, Sqoop, PIG, MapReduce, Java (JDK), MySQL and Ubuntu.

Confidential, Chicago, IL

Junior Developer

Responsibilities:

Analyzed functional specifications.
Responsible to manage data coming from different sources.
Worked on Contacts Relations Management, Human resources Management, Sales and Profit Logistics.
Communications Module and Inventory Management System.

Environment: Java, ASP and SQL