Mar 2015 – Mar 2017 · 2 yrs · Greater Hyderabad Area

• Technologies : MongoDB, Hadoop, Hive, Java, Spring, RDBMS, Shell Scripting, Linux
• Description : HR team undertakes functions like payroll management, performance management, compensation management, talent hunting, selection, recruitment, etc. We develop the portal, which can help the HR accomplish its task in a much quicker and efficient manner.
• Responsibilities:
• We develop the features like Employee Information, Time-sheet Management, Compensation Management, Appraisal Management, Employee Activities, etc
• Involved in End-to-End flow the project (design, development, deployment)
• We use RDBMS is the primary database, later we migrate the data from RDBMS to MongoDB
• We use Mongo-Hadoop connector to Migrate the data from RDBMS to MongoDB
• We integrate Hive-MongoDB to perform analytics on MongoDB data
• Integrating MongoDB data with mobile apps & web api’s using REST service

May 2013 – Feb 2015 · 1 yr 9 mos · Greater Hyderabad Area

• Technologies : Hadoop, Hive, Sqoop, MongoDB, Storm, Java, Python, RDBMS, Shell Scripting, Linux
• Description : iC-360™ product enables organizations to research, analyze and discover customer behavioral patterns by leveraging various source of data like
• Social media networks like, facebook, twitter, google+, youtube, chats, comments, reviews and other micro blogs.
• Company’s transactional data & web log data
• User defined data source
• Responsibilities:
• Extracting the raw data from Social media networks like, facebook, twitter, google+, youtube, chats, comments, reviews and other micro blogs.
• Convert the raw data into JSON format using MapReduce and store the final results into MongoDB
• Integrating MongoDB data with mobile apps & web api’s using REST service
• Using flume collecting the raw data from web log servers
• Using Sqoop, importing & exporting the data between RDBMS & Hadoop to handle business activities
• Integrating Hive with MongoDB, MapReduce with MongoDB to perform Analytics

Sep 2011 – Apr 2013 · 1 yr 7 mos · Greater Hyderabad Area

• Technologies : Hadoop, Lucene, Tika, Java, J2EE, RDBMS, Dojo, Linux
• Description : Oracle has acquired FatWire a leading provider of web experience management solutions. FatWire's solutions are designed for business users with easy-to-use tools, enabling marketers to optimize the online experience for customers.
• Responsibilities:
• Continuing the existing work & tasks in FatWire
• Adding new enhancements to the product
• Bug fixes & Writing test cases to the product.

Dec 2010 – Aug 2011 · 8 mos · Greater Hyderabad Area

• Technologies : Hadoop, Lucene, Tika, Java, J2EE, RDBMS, Dojo, Linux
• Description : FatWire Content Server is a comprehensive web content management (WCM) solution that enables organizations to deliver a compelling web experience by building, deploying, and managing large-scale, persuasive, and interactive web sites. FatWire Content Server automates the entire process of managing web content, including authoring, site design, content publishing and deployment, content targeting, web content analytics, and user participation.
• Responsibilities:
• Develop the analytics on Web Content data using MapReduce.
• Maintaining the huge amount of raw data in HDFS.
• Index the huge amount of raw data in HDFS using Lucene & Tika
• Integrating RDBMS data with HDFS index data to get the Real Time Analytics
• Worked on both Client Side and Server Side activities
• Involved complete end to end flow of the project process.

Dec 2009 – Nov 2010 · 11 mos · Banglore Area, India

• Technologies : Hadoop, Hive, Zookeeper, Solr, Java, Shell Scripting, Linux, Ant
• Description : Smart Unified Media Platform is mainly for mobility platform. Indexing the stored data in hadoop to give the quick results by in search time. Developing Integration Operation Management (IOM), to supports managing the Distributed Cluster
• Responsibilities:
• Indexing the huge amount of data stored in HDFS using MapReduce.
• Maintaining the huge amount of metadata in HDFS.
• Executing large queries using Hive efficiently.
• Providing Search feature using Solr from huge database
• Writing scripts for Hadoop Cluster configurations for automation
• Performed unit testing using JUnit.
• Writing the build scripts using Ant