Srikanth K - Hadoop Developer - Jawaharlal Nehru Technological University (JNTU), 2012, Hadoop Developer, ADP india Pvt Ltd from Alwasi Software Pvt Ltd, 3.6 yrs, Hyderabad

1. Srikanth K :srikanthkamatam1@gmail.com
Hadoop Developer : +91-7075436413
EXECUTIVE SUMMARY
 Having 3+ years of IT experience as an Big Data and Hadoop.
 Having work experience in HDFS, MapReduce, Apache PIG, HIVE, Sqoop and Hbase..
 A dedicated team player, committed towards providing high quality support and excellent
problem solving skills.
 Good communication & interpersonal skills.
 Good Team player and self motivated.
TECHNICAL SKILLS
 Hadoop : HDFS, Map Reduce, Apache PIG, HIVE, Sqoop and Hbase
 Operating Systems : Windows 2003/2008, Unix, Cent-Linux
 Relational Databases: My SQL, ORACLE
 Java : Core Java
EDUCATION
 M.C.A from J N T U University.
 BSc (M.p.ca) from Osmania University.
PROFESSIONAL EXPERIENCE
 Working for ADP India Pvt Ltd through Alwasi Software Pvt Ltd, Hyderabad from
March 2012 to till date.
 Trained in BIGDATA / Hadoop and deployed to client.

2. PROJECTDETAILS
PROJECT : LOWES Re-hosting of Web Intelligence
Environment : Hadoop, Apache Pig, Hive, Sqoop, Java, Linux, MySQL
Duration : Jan 2014 to till Date
Description:
The purpose of the project is to store terabytes of log information generated by the ecommerce
website and extract meaning information out of it. The solution is based on the open source Big
Data s/w Hadoop .The data will be stored in Hadoop file system and processed using
Map/Reduce jobs. Which intern includes getting the raw html data from the websites, Process the
html to obtain product and pricing information, Extract various reports out of the product pricing
information and Export the information for further processing.
This project is mainly for the re-plat forming of the current existing system which is running on
Web Harvest a third party JAR and in My SQL DB to a new cloud solution technology called
Hadoop which can able to process large date sets (i.e. Tera bytes and Peta bytes of data) in order
to meet the client requirements with the increasing completion from his retailers.
Responsibilities:
 Participated in client calls to gather and analyses the requirement.
 Moved all crawl data flat files generated from various retailers to HDFS for further
processing.
 Written the Apache PIG scripts to process the HDFS data.
 Created Hive tables to store the processed results in a tabular format.
 Developed the sqoop scripts in order to make the interaction between Pig and My
SQL Database.
 For the development of Dashboard solution, developed the Controller, Service and
Dao layers of Spring Framework.
 Developed scripts for creating the reports from Hive data.
 Completely involved in the requirement analysis phase.

3. Project : Private Bank Repository DW
Environment : Hadoop, HDFS, Map Reduce, Hive, Hbase and MYSQL
Duration : June2012 to Dec 2013
ProjectSynopsis
A full-fledged dimensional data mart to cater to the CPB analytical reporting
requirement as the current GWM system is mainly focused on data enrichment,
adjustment, defaulting and other data oriented process. Involved in the full development
life cycle in a distributed environment for the Candidate Module. . Private Bank
Repository system is processing approximately 5, 00,000 of records every month.
Responsibilities
 Participated in client calls to gather and analyses the requirement.
 Involved in setup for Hadoop Cluster in Pseudo-Distributed Mode based on Linux
commands.
 Involved in Core Concepts of Hadoop HDFS, Map Reduce (Like Job Tracker, Task
tracker).
 Involved in Map Reduce phases By Using Core java , create and put jar files in to HDFS
and run web UI for Name node , Job Tracker and Task Tracker.
 Involved in Extracting, transforming, loading Data from Hive to Load an RDBMS.
 Involved in Transforming Data within a Hadoop Cluster
 Involved in using Pentaho Map Reduce to Parse Weblog Data for Pentaho Map Reduce
to convert raw weblog data into parsed, delimited records.
 Involved Job to Load, Loading Data into Hive.
 Involved in Create the Table in Hbase, Create a Transformation to Load Data into Hbase.
 Involved in Writing input output Formats for CSV.
 Involved in Import and Export by using Sqoop for job entries.
 Design and development by using Pentaho.
 Involved in Unit Test Pentaho Map Reduce Transformation
Project
Project under Training – March 2012 to June 2012
Big Data initiative in the largest FinancialInstitute in North America:

4. One of the largest financial institutions in north America had implemented small
business banking e statements project using existing software tools and applications. The
overall process to generate e statement and send alerts to customers was taking 18 to 30 hours
per cycle day. Hence missing all SLA's leading to customer dissatisfaction.
The purpose of the project to cut down the processing time to generate E-statements and alerts
by at least 50% and also cut down the cost by 50%.
Solution
 All sources of Structured and Unstructured data ingested into Hadoop platform
o Unstructured data for small business e statements
o structured data of Financial transaction, cycle transaction, supplemental
transaction, WCC customer data and GAI online banking data.
 4GB chunks of data are created at the source (card processing system) and send
directly to card processing system for PDF's generation.
 E-Statements account numbers are generated using PIG scripts.
 All the data combined together using Hive QL to create necessary data for customer
notification engine.
 Tools used: Sqoop to import data from databases to Hadoop
Environment : Hadoop, Map Reduce, Hive.
Role : Hadoop Developer
Roles & Responsibilities:
 Create Hduser for performing HDFS operations
 Create Map Reduce user for performing map Reduce operations only
 Written the Apache PIG scripts to process the HDFS data.
 Setting Password less Hadoop
 Hadoop Installation Verification(Terra sort benchmark test)
 Setup Hive with My Sql as a Remote Meta store
 Developed the sqoop scripts in order to make the interaction between Hive and My SQL
Database.
 Moved all log files generated by various network devices into HDFS location
 Created External Hive Table on top of parsed data
(Srikanth)