SUMMARY:

• A dynamic professional with over 8 years of experience in Hadoop & BigData related technologies with good exposure in Map Reduce, HDFS, Hive, Sqoop, Pig, Cornerstone, Magellan
• MapR certified Hadoop Developer & Splunk certified Power User.
• Excellent understanding/ knowledge of Hadoop architecture and various components such as
• HDFS, Job Tracker, Task Tracker, Name Node, Data Node, Resource Manager and Node Manager and Map Reduce programming paradigm
• Excellent understanding/ knowledge about troubleshooting capability in every tier of the application for enterprise and standalone applications.
• Hands on experience in developing and deploying using Hadoop Ecosystem components like Hadoop Map Reduce, HDFS, Hive, Sqoop, Pig in MapR Hadoop Ecosystem.
• Experience on Apache Hadoop Map Reduce programming, PIG Scripting, Hive warehousing and Distribute Application HDFS.
• Experience in importing and exporting data using Sqoop from HDFS to Relational Database Systems and vice - versa.
• Experience in all phases of software design life-cycle management and implementation.
• Outstanding leadership abilities able to coordinate all phases of project-based efforts while managing, motivating and leadership project teams.
• Hands-on experience in learning and excelling at new technologies as needed. Adept at developing innovative applications, and technical specifications.
• Strong experience in Development and Production support projects.
• Good Experience on Version control systems like Tortoise SVN and GIT
• Used Jenkins for application validation and building the system.

TECHNICAL SKILLS:

Big Data: Apache Hadoop, HDFS, Map Reduce, Hive, Pig, Sqoop, Spark (Beginner).

Languages: Scala(Beginner), Java 1.6, PL/SQL.

RDBMS: Oracle 9i, 10G.

Scripting Languages: UNIX Shell script, HTML

XML Technologies: XML

Deployment Tools: SVN, GIT

Building Tools: Maven

Development Tools: Eclipse

Operating systems: Windows XP/7/8, Linux, MAC

Methodology: Waterfall, Agile

PROFESSIONAL EXPERIENCE:

Confidential, Florida

Hadoop Developer/Lead

Responsibility

• Data Ingestion into Cornerstone (Big data Repository) from Credit Bureau’s through Ingestion activities.
• Appling deduping and adding rules on top of deduped data.
• Creation of external, managed & Partitioned Tables in Hive to store data.
• Running the workflow through Event Engine.
• Creating CSV and fixed width files and sending back to Mainframes for downstream applications.
• Coordinating and leading the team providing technical suggestion.
• Business process understanding and requirement gathering.
• Develop Utilities, reusable components for applications using Hadoop technology stack.
• Involve in different performance tuning approach to improve application response time.
• Involved in running Hadoop jobs for processing millions of records of text data.

Technical Details: Hive, Hadoop, Unix, Cornerstone, Sqoop, Pig, Magellan, Shell Script, Event Engine.

Confidential

Hadoop Developer

Responsibility

• Sqoop Extracts to pull data from Teradata into HDFS.
• Automation of workflow from pulling data to HDFS to generation of reports using Spring Batch framework.
• Writing of Hive scripts based on business logic as per requirement.
• Creation of external, managed & Partitioned Tables.
• Using crontab to schedule jobs.
• Writing Utilities, UDFs for the big data platform, code review, define standards, best practices
• Involved in identifying possible ways to improve the efficiency of the system
• Business process understanding and requirement gathering.

Technical Details: Hadoop, Hive, Unix, Sqoop, Spring Batch Framework, Maven, Shell Script, Cornerstone.

Confidential

Hadoop Prod Support Analyst

Responsibility

• Co-coordinating with offshore and direct interaction with Clients
• Loading data into hive.
• Changing views as per the incoming batches.
• Enhancements as per the requirements.
• Requirement gathering, design, development, testing and Weekly status reporting,
• Monitoring the production system and measuring its efficiency and creating reports.
• Production strategy, planning, execution.
• Resolution of Defect reported by application users
• Application Support and Maintenance of the application.
• Interaction with business users for requirement clarification an
• Production Support Activities.
• Monitoring of jobs as well as the health of cluster.
• Working on Change Requests as well as Service Requests.
• Handling P0/P1/P2/P3 tickets.

Technical Details: Hadoop, Hive, Unix, HDFS, BBEdit, Autosys & core JAVA

Confidential

Hadoop Developer

Responsibility

• Requirement gathering and estimation.
• Coding using JAVA (Map Reduce)
• Coding for different Input formats.
• Co-coordinating with offshore and direct interaction with Clients
• Unit, Functional and Integration Testing of the Application.
• Interaction with business users for requirement clarification and resolution of problems reported
• Design, Implementation and Deployment for enhancements
• Coordination with global teams and vendor.
• Deploying the code.

Technical Details: Hadoop, Hive, Unix & core JAVA.

Systems Engineer

Confidential

Responsibility

• Creation of workflows and lifecycles.
• Upgradation of CUSTOMIZED USPL DRM from WebTop 6.5SP2 to 6.6.
• Unit, Functional and Integration Testing of the Application.
• Completed framework establishment, development, deployment and support hand over for this enhancement.
• Communicated to the clients and business on the daily basis.
• Gathered the business requirements from the Business Partners and Subject Matter Experts.

Technical Details: Core Java, Documentum & Tools