SlideShare a Scribd company logo
1 of 3
PRABHAKAR T
E-mail: prabha_it53@yahoo.com
Mobile: +91-9703045253
Professional Summary:
 Diligent and hardworking professional with around 3 years of experience in IT sector.
 Having 2 years of Hands on Experience in Big Data technologies like Apache Hadoop,
HDFS, MapReduce, Hive, Pig, Sqoop and Hbase.
 Having Hands on Experience with Hadoop Core Concepts Like HDFS and Map Reduce.
 Having Hands on Experience in Core Java for Map Reduce Concepts / life cycle.
 Having Experience in HIVE Database and Analytics using Pig
 Having Hands on Experience in Hive Using CLI Mode (Hive Shell) and Thrift Mode.
 Having Hands on Experience in Java concepts like Core java, Servlets,Jsp,JDBC,Struts
 Capable of processing large sets of structured, semi-structured and unstructured data
and supporting systems application architecture.
 Having basic Knowledge in Apache Flume, Cassandra, MongoDB.
 Strong experience in developing Linux environment with Linux.
 Strong experience in Relational Databases like MySQL, Oracle.
 Strong analytical skills with ability to quickly understand client’s business needs and
create specifications.
 Possess good communication and interpersonal skills
Technical Skills:
Hadoop Technology : HDFS, MapReduce, Pig Latin, Hive, Hbase, Sqoop
Programming Languages : Java
Web Technologies : JSP, Servlets, JDBC, HTML
Development Tools : Eclipse
Databases : Oracle, My SQL
Web/Application Servers : Tomcat
Operating Systems : Windows XP/7/8, UNIX, CentOS
1
Education:
B.Tech from Jawaharlal Nehru Technology University -2012
Working Experience:
 Currently Working as a BigData Developer at Tata Consultancy Services, Hyderabad
Since March 2013 to till date
 Worked with Ascendum Systems, Bangalore as Java Developer March 2012 to
February 2013
PROJECTS PROFILE:
Project # 1 : Log Analytics
Client : McGraw-Hill Companies, USA
Team size : 20
Role : Developer
Duration : March 2013 to till date
Environment: Hadoop, HDFS, MapReduce, Pig, Hive, HBase, UNIX and Oracle
Project Synopsis : This project aims to generating log files(flat files) and then move all log
data from individual servers to HDFS as the main log storage and management system and then
perform analysis on these HDFS datasets. This application has the ability to parse the log files
generated by the web server and derive useful information for analytics of the Weblog. Using
these analytical reports we can identify patterns of visitor’s interest. Per day it will generate 50
GB of data. The findings from weblog data are visiting users, peak usage users, frequently
visited pages, most viewed pages/content, visit duration, navigation, through which linked sites
are search engines, etc.. It’s going to generate reports for daily, weekly, monthly, Quarterly,
Half yearly and yearly.
The Web server generates and stores a large amount of data. Since the data is huge, manual
analysis of the data is difficult. The need to handle such large volumes of data leads to the Big
Data Concepts and data analysis using Hadoop and MapReduce framework
Responsibilities Managed:
 Participated in client calls to gather and analyze the requirement.
 Involved in Extracting, transforming, loading (ETL) data from Hive to Load an RDBMS.
2
 Storing and retrieved data using HQL in Hive and Pig Latin
 Involved Job to Load, Loading Data into Hive.
 Involved to use Hive External Tables
 Importing and Exporting data from Oracle to Hive,HDFS & HBase
 Created HBase tables to load large sets of structured, semi-structured and unstructured
data coming from UNIX, NoSQL and a variety of portfolios
 Involved in Import and Export by using Sqoop for job entries.
Project # 2 : Bringmefood
Client : Giraffe Web Designs (Guernsey City-UK).
Duration : March 2012-february 2013
Role : Developer
Database : Sqlserver
Application Server : JBoss
Team Size : 6
Technologies : Java, JSP, Servlet, Struts, HTML, Mysql.
Project Synopsis: Bringmefood is a web based enterprise portal, which facilitates the end user
to have his favorite item to be delivered to the address specified. The portal will manage all the
transactions through a payment gateway. The system basically contains the hierarchical levels
as admin, vendor and the customer. The customer can place an order to the nearest restaurant
from his place just entering the post code or dish. The system maintains all the history of orders
related to the customer, so that it will be helpful for the customer to order the same menu.
Also he can choose some of his orders as his favorite orders.
Responsibilities Managed:
 Highly involved in development process and functionality of the project.
 Enhancement of Vendor functionality like add/managing restaurants, add/view menu
items, managing profiles.
 Involved in development of mail sending process (like HTML by using xslt and XML) in
the project to various users like customer, vendor etc.
3

More Related Content

What's hot

Big Data Technologies - Hadoop
Big Data Technologies - HadoopBig Data Technologies - Hadoop
Big Data Technologies - HadoopTalentica Software
 
Hadoop project design and a usecase
Hadoop project design and  a usecaseHadoop project design and  a usecase
Hadoop project design and a usecasesudhakara st
 
Srikanth hadoop 3.6yrs_hyd
Srikanth hadoop 3.6yrs_hydSrikanth hadoop 3.6yrs_hyd
Srikanth hadoop 3.6yrs_hydsrikanth K
 
Apache hadoop introduction and architecture
Apache hadoop  introduction and architectureApache hadoop  introduction and architecture
Apache hadoop introduction and architectureHarikrishnan K
 
Hadoop introduction
Hadoop introductionHadoop introduction
Hadoop introduction葵慶 李
 
Facebook - Jonthan Gray - Hadoop World 2010
Facebook - Jonthan Gray - Hadoop World 2010Facebook - Jonthan Gray - Hadoop World 2010
Facebook - Jonthan Gray - Hadoop World 2010Cloudera, Inc.
 
Using Hadoop and Hive to Optimize Travel Search , WindyCityDB 2010
Using Hadoop and Hive to Optimize Travel Search, WindyCityDB 2010Using Hadoop and Hive to Optimize Travel Search, WindyCityDB 2010
Using Hadoop and Hive to Optimize Travel Search , WindyCityDB 2010Jonathan Seidman
 
Big data vahidamiri-tabriz-13960226-datastack.ir
Big data vahidamiri-tabriz-13960226-datastack.irBig data vahidamiri-tabriz-13960226-datastack.ir
Big data vahidamiri-tabriz-13960226-datastack.irdatastack
 
Apache HBase - Just the Basics
Apache HBase - Just the BasicsApache HBase - Just the Basics
Apache HBase - Just the BasicsHBaseCon
 
HADOOP TECHNOLOGY ppt
HADOOP  TECHNOLOGY pptHADOOP  TECHNOLOGY ppt
HADOOP TECHNOLOGY pptsravya raju
 
Big Data technology Landscape
Big Data technology LandscapeBig Data technology Landscape
Big Data technology LandscapeShivanandaVSeeri
 
Introduction to Bigdata and HADOOP
Introduction to Bigdata and HADOOP Introduction to Bigdata and HADOOP
Introduction to Bigdata and HADOOP vinoth kumar
 
Facebook Hadoop Data & Applications
Facebook Hadoop Data & ApplicationsFacebook Hadoop Data & Applications
Facebook Hadoop Data & Applicationsdzhou
 
Big Data and Hadoop Basics
Big Data and Hadoop BasicsBig Data and Hadoop Basics
Big Data and Hadoop BasicsSonal Tiwari
 

What's hot (20)

Big Data Technologies - Hadoop
Big Data Technologies - HadoopBig Data Technologies - Hadoop
Big Data Technologies - Hadoop
 
Hadoop project design and a usecase
Hadoop project design and  a usecaseHadoop project design and  a usecase
Hadoop project design and a usecase
 
SQL Server 2012 and Big Data
SQL Server 2012 and Big DataSQL Server 2012 and Big Data
SQL Server 2012 and Big Data
 
Apache hive1
Apache hive1Apache hive1
Apache hive1
 
Srikanth hadoop 3.6yrs_hyd
Srikanth hadoop 3.6yrs_hydSrikanth hadoop 3.6yrs_hyd
Srikanth hadoop 3.6yrs_hyd
 
Syed Akram
Syed Akram Syed Akram
Syed Akram
 
Apache hadoop introduction and architecture
Apache hadoop  introduction and architectureApache hadoop  introduction and architecture
Apache hadoop introduction and architecture
 
Big data and Hadoop
Big data and HadoopBig data and Hadoop
Big data and Hadoop
 
Big data & hadoop
Big data & hadoopBig data & hadoop
Big data & hadoop
 
Hadoop introduction
Hadoop introductionHadoop introduction
Hadoop introduction
 
Facebook - Jonthan Gray - Hadoop World 2010
Facebook - Jonthan Gray - Hadoop World 2010Facebook - Jonthan Gray - Hadoop World 2010
Facebook - Jonthan Gray - Hadoop World 2010
 
Using Hadoop and Hive to Optimize Travel Search , WindyCityDB 2010
Using Hadoop and Hive to Optimize Travel Search, WindyCityDB 2010Using Hadoop and Hive to Optimize Travel Search, WindyCityDB 2010
Using Hadoop and Hive to Optimize Travel Search , WindyCityDB 2010
 
Big data vahidamiri-tabriz-13960226-datastack.ir
Big data vahidamiri-tabriz-13960226-datastack.irBig data vahidamiri-tabriz-13960226-datastack.ir
Big data vahidamiri-tabriz-13960226-datastack.ir
 
Apache HBase - Just the Basics
Apache HBase - Just the BasicsApache HBase - Just the Basics
Apache HBase - Just the Basics
 
HADOOP TECHNOLOGY ppt
HADOOP  TECHNOLOGY pptHADOOP  TECHNOLOGY ppt
HADOOP TECHNOLOGY ppt
 
Big Data technology Landscape
Big Data technology LandscapeBig Data technology Landscape
Big Data technology Landscape
 
Introduction to Bigdata and HADOOP
Introduction to Bigdata and HADOOP Introduction to Bigdata and HADOOP
Introduction to Bigdata and HADOOP
 
Big data
Big dataBig data
Big data
 
Facebook Hadoop Data & Applications
Facebook Hadoop Data & ApplicationsFacebook Hadoop Data & Applications
Facebook Hadoop Data & Applications
 
Big Data and Hadoop Basics
Big Data and Hadoop BasicsBig Data and Hadoop Basics
Big Data and Hadoop Basics
 

Viewers also liked

умо спб 12 и 13 мая 2016г.
умо спб 12 и 13 мая 2016г.умо спб 12 и 13 мая 2016г.
умо спб 12 и 13 мая 2016г.Julia Korkina
 
Estimating+the+median
Estimating+the+medianEstimating+the+median
Estimating+the+medianmoon58
 
умо красноярск 10 мая 2016г.
умо красноярск 10 мая 2016г.умо красноярск 10 мая 2016г.
умо красноярск 10 мая 2016г.Julia Korkina
 
информационное письмо (2)
информационное письмо (2)информационное письмо (2)
информационное письмо (2)Julia Korkina
 
бронь парома
бронь паромабронь парома
бронь паромаJulia Korkina
 
Poster VisuaLCA Environmental Picture
Poster VisuaLCA Environmental PicturePoster VisuaLCA Environmental Picture
Poster VisuaLCA Environmental PictureFlorent Blondin
 
справка о зарплате от регионально отделения
справка о зарплате от регионально отделениясправка о зарплате от регионально отделения
справка о зарплате от регионально отделенияJulia Korkina
 
Darryl_Perry_20160115
Darryl_Perry_20160115Darryl_Perry_20160115
Darryl_Perry_20160115Darryl Perry
 
Ifma medical-declaration-for-athletes-v.3
Ifma medical-declaration-for-athletes-v.3Ifma medical-declaration-for-athletes-v.3
Ifma medical-declaration-for-athletes-v.3Julia Korkina
 

Viewers also liked (11)

ResumeNew
ResumeNewResumeNew
ResumeNew
 
умо спб 12 и 13 мая 2016г.
умо спб 12 и 13 мая 2016г.умо спб 12 и 13 мая 2016г.
умо спб 12 и 13 мая 2016г.
 
Estimating+the+median
Estimating+the+medianEstimating+the+median
Estimating+the+median
 
умо красноярск 10 мая 2016г.
умо красноярск 10 мая 2016г.умо красноярск 10 мая 2016г.
умо красноярск 10 мая 2016г.
 
информационное письмо (2)
информационное письмо (2)информационное письмо (2)
информационное письмо (2)
 
бронь парома
бронь паромабронь парома
бронь парома
 
Poster VisuaLCA Environmental Picture
Poster VisuaLCA Environmental PicturePoster VisuaLCA Environmental Picture
Poster VisuaLCA Environmental Picture
 
Doc2
Doc2Doc2
Doc2
 
справка о зарплате от регионально отделения
справка о зарплате от регионально отделениясправка о зарплате от регионально отделения
справка о зарплате от регионально отделения
 
Darryl_Perry_20160115
Darryl_Perry_20160115Darryl_Perry_20160115
Darryl_Perry_20160115
 
Ifma medical-declaration-for-athletes-v.3
Ifma medical-declaration-for-athletes-v.3Ifma medical-declaration-for-athletes-v.3
Ifma medical-declaration-for-athletes-v.3
 

Similar to Prabhakar T's Big Data and Java Resume

Srikanth hadoop hyderabad_3.4yeras - copy
Srikanth hadoop hyderabad_3.4yeras - copySrikanth hadoop hyderabad_3.4yeras - copy
Srikanth hadoop hyderabad_3.4yeras - copysrikanth K
 
Shiv shakti resume
Shiv shakti resumeShiv shakti resume
Shiv shakti resumeShiv Shakti
 
Overview of big data & hadoop version 1 - Tony Nguyen
Overview of big data & hadoop   version 1 - Tony NguyenOverview of big data & hadoop   version 1 - Tony Nguyen
Overview of big data & hadoop version 1 - Tony NguyenThanh Nguyen
 
ganesh_2+yrs_Java_Developer_Resume
ganesh_2+yrs_Java_Developer_Resumeganesh_2+yrs_Java_Developer_Resume
ganesh_2+yrs_Java_Developer_ResumeYeduvaka Ganesh
 
VAMSHI KRISHNA GADDAM IDRBT Experienced RESUME
VAMSHI KRISHNA GADDAM IDRBT Experienced RESUMEVAMSHI KRISHNA GADDAM IDRBT Experienced RESUME
VAMSHI KRISHNA GADDAM IDRBT Experienced RESUMEvamshi krishna
 
Manikyam_Hadoop_5+Years
Manikyam_Hadoop_5+YearsManikyam_Hadoop_5+Years
Manikyam_Hadoop_5+YearsManikyam M
 
Bharath Hadoop Resume
Bharath Hadoop ResumeBharath Hadoop Resume
Bharath Hadoop ResumeBharath Kumar
 
KOTI_RESUME_(1) (2)
KOTI_RESUME_(1) (2)KOTI_RESUME_(1) (2)
KOTI_RESUME_(1) (2)ch koti
 

Similar to Prabhakar T's Big Data and Java Resume (20)

Sureh hadoop 3 years t
Sureh hadoop 3 years tSureh hadoop 3 years t
Sureh hadoop 3 years t
 
hadoop resume
hadoop resumehadoop resume
hadoop resume
 
hadoop exp
hadoop exphadoop exp
hadoop exp
 
PRAFUL_HADOOP
PRAFUL_HADOOPPRAFUL_HADOOP
PRAFUL_HADOOP
 
Srikanth hadoop hyderabad_3.4yeras - copy
Srikanth hadoop hyderabad_3.4yeras - copySrikanth hadoop hyderabad_3.4yeras - copy
Srikanth hadoop hyderabad_3.4yeras - copy
 
HimaBindu
HimaBinduHimaBindu
HimaBindu
 
PRAFUL_HADOOP
PRAFUL_HADOOPPRAFUL_HADOOP
PRAFUL_HADOOP
 
Atul Mithe
Atul MitheAtul Mithe
Atul Mithe
 
Shiv shakti resume
Shiv shakti resumeShiv shakti resume
Shiv shakti resume
 
Resume
ResumeResume
Resume
 
Sudhanshu kumar hadoop
Sudhanshu kumar hadoopSudhanshu kumar hadoop
Sudhanshu kumar hadoop
 
Overview of big data & hadoop version 1 - Tony Nguyen
Overview of big data & hadoop   version 1 - Tony NguyenOverview of big data & hadoop   version 1 - Tony Nguyen
Overview of big data & hadoop version 1 - Tony Nguyen
 
Mukul-Resume
Mukul-ResumeMukul-Resume
Mukul-Resume
 
What is hadoop
What is hadoopWhat is hadoop
What is hadoop
 
Mansi Khare
Mansi KhareMansi Khare
Mansi Khare
 
ganesh_2+yrs_Java_Developer_Resume
ganesh_2+yrs_Java_Developer_Resumeganesh_2+yrs_Java_Developer_Resume
ganesh_2+yrs_Java_Developer_Resume
 
VAMSHI KRISHNA GADDAM IDRBT Experienced RESUME
VAMSHI KRISHNA GADDAM IDRBT Experienced RESUMEVAMSHI KRISHNA GADDAM IDRBT Experienced RESUME
VAMSHI KRISHNA GADDAM IDRBT Experienced RESUME
 
Manikyam_Hadoop_5+Years
Manikyam_Hadoop_5+YearsManikyam_Hadoop_5+Years
Manikyam_Hadoop_5+Years
 
Bharath Hadoop Resume
Bharath Hadoop ResumeBharath Hadoop Resume
Bharath Hadoop Resume
 
KOTI_RESUME_(1) (2)
KOTI_RESUME_(1) (2)KOTI_RESUME_(1) (2)
KOTI_RESUME_(1) (2)
 

Prabhakar T's Big Data and Java Resume

  • 1. PRABHAKAR T E-mail: prabha_it53@yahoo.com Mobile: +91-9703045253 Professional Summary:  Diligent and hardworking professional with around 3 years of experience in IT sector.  Having 2 years of Hands on Experience in Big Data technologies like Apache Hadoop, HDFS, MapReduce, Hive, Pig, Sqoop and Hbase.  Having Hands on Experience with Hadoop Core Concepts Like HDFS and Map Reduce.  Having Hands on Experience in Core Java for Map Reduce Concepts / life cycle.  Having Experience in HIVE Database and Analytics using Pig  Having Hands on Experience in Hive Using CLI Mode (Hive Shell) and Thrift Mode.  Having Hands on Experience in Java concepts like Core java, Servlets,Jsp,JDBC,Struts  Capable of processing large sets of structured, semi-structured and unstructured data and supporting systems application architecture.  Having basic Knowledge in Apache Flume, Cassandra, MongoDB.  Strong experience in developing Linux environment with Linux.  Strong experience in Relational Databases like MySQL, Oracle.  Strong analytical skills with ability to quickly understand client’s business needs and create specifications.  Possess good communication and interpersonal skills Technical Skills: Hadoop Technology : HDFS, MapReduce, Pig Latin, Hive, Hbase, Sqoop Programming Languages : Java Web Technologies : JSP, Servlets, JDBC, HTML Development Tools : Eclipse Databases : Oracle, My SQL Web/Application Servers : Tomcat Operating Systems : Windows XP/7/8, UNIX, CentOS 1
  • 2. Education: B.Tech from Jawaharlal Nehru Technology University -2012 Working Experience:  Currently Working as a BigData Developer at Tata Consultancy Services, Hyderabad Since March 2013 to till date  Worked with Ascendum Systems, Bangalore as Java Developer March 2012 to February 2013 PROJECTS PROFILE: Project # 1 : Log Analytics Client : McGraw-Hill Companies, USA Team size : 20 Role : Developer Duration : March 2013 to till date Environment: Hadoop, HDFS, MapReduce, Pig, Hive, HBase, UNIX and Oracle Project Synopsis : This project aims to generating log files(flat files) and then move all log data from individual servers to HDFS as the main log storage and management system and then perform analysis on these HDFS datasets. This application has the ability to parse the log files generated by the web server and derive useful information for analytics of the Weblog. Using these analytical reports we can identify patterns of visitor’s interest. Per day it will generate 50 GB of data. The findings from weblog data are visiting users, peak usage users, frequently visited pages, most viewed pages/content, visit duration, navigation, through which linked sites are search engines, etc.. It’s going to generate reports for daily, weekly, monthly, Quarterly, Half yearly and yearly. The Web server generates and stores a large amount of data. Since the data is huge, manual analysis of the data is difficult. The need to handle such large volumes of data leads to the Big Data Concepts and data analysis using Hadoop and MapReduce framework Responsibilities Managed:  Participated in client calls to gather and analyze the requirement.  Involved in Extracting, transforming, loading (ETL) data from Hive to Load an RDBMS. 2
  • 3.  Storing and retrieved data using HQL in Hive and Pig Latin  Involved Job to Load, Loading Data into Hive.  Involved to use Hive External Tables  Importing and Exporting data from Oracle to Hive,HDFS & HBase  Created HBase tables to load large sets of structured, semi-structured and unstructured data coming from UNIX, NoSQL and a variety of portfolios  Involved in Import and Export by using Sqoop for job entries. Project # 2 : Bringmefood Client : Giraffe Web Designs (Guernsey City-UK). Duration : March 2012-february 2013 Role : Developer Database : Sqlserver Application Server : JBoss Team Size : 6 Technologies : Java, JSP, Servlet, Struts, HTML, Mysql. Project Synopsis: Bringmefood is a web based enterprise portal, which facilitates the end user to have his favorite item to be delivered to the address specified. The portal will manage all the transactions through a payment gateway. The system basically contains the hierarchical levels as admin, vendor and the customer. The customer can place an order to the nearest restaurant from his place just entering the post code or dish. The system maintains all the history of orders related to the customer, so that it will be helpful for the customer to order the same menu. Also he can choose some of his orders as his favorite orders. Responsibilities Managed:  Highly involved in development process and functionality of the project.  Enhancement of Vendor functionality like add/managing restaurants, add/view menu items, managing profiles.  Involved in development of mail sending process (like HTML by using xslt and XML) in the project to various users like customer, vendor etc. 3