Business Analyst Resume

PROFILE / SUMMARY:

Transforming large, unruly data sets into competitive advantages
Total 12+ years of Software Development/Design/Management/Support experience on various platforms.
Worked on assignments for multiple international and domestic clients.
Strength areas include Data Analytics using Hadoop,Hive,MapReduce,R having strong background on LIMS,Insurance business domain, direct interaction with the client while understanding/designing solutions, providing consultancy with special emphasis on management and maintenance/support of products/application systems, databases & associated software.
Purveyor of competitive intelligence and holistic, timely analyses of Big Data made possible by the successful installation, configuration and administration of Hadoop ecosystem components and architecture.
Two years’ experience installing, configuring, testing Hadoop ecosystem components.
Capable of processing large sets of structured, semi - structured and unstructured data and supporting systems application architecture.
Able to assess business rules, collaborate with stakeholders and perform source-to-target data mapping, design and review.
Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, machine learning and advanced data processing. Experience optimizing ETL workflows.
A diversified IT experience, comprising of Analytics,S/W Analysis/Designing,Coading Re-engineering, Leading, Development & Maintenance of different Software Products & Information Systems.Have some exposure to Business Development activities, Pre-Sales activities like, RFP and extensive client interaction & management. Involved extensively into Product/Project/Application design, implementation, management, development, support & maintenance on Three-tier & Client-Server areas.
Fair knowledge of Three-tier/Client-Server architecture, J2EE Application Development / Maintenance / Management / Release / Delivery / Support & DB design using J2EE,Oracle DB 8.x/8i/9i/10g/11g, JSP,Servlet,JQuery,JavaScript MS SQL Server 7.x/2K/2K5, extensive knowledge of Java/JavaScript & Ajax/JSP.
Strong aptitude & tenacity towards working on J2EE & Data Analytics, related tools and technologies, like Hadoop,Talend 6.x,R programming.

TECHNICAL SUMMARY:

Data Analytics: Hadoop 16.04,Talend 6.x,R Programming,Sqoop,Hive,Map Reduce

Operating Systems: MS Windows 95/98/NT/2K/XP/2003, MS-DOS

Languages: Java/J2EE, PL-SQL/SQL, Advanced Java, C, C++ (basic)

Databases: Oracle 8.x/8i/9i/10g/11g, MS SQL Server 7.0/2000/2005/2008 , MySQL

Web Development: JSP, Servlet,Javascript/Ajax, jQuery HTML

Web Server / Servlet Runner: Weblogic,Websphere Oracle AS, JBoss, Sybase EAServer, Apache Tomcat, IIS

PROFESSIONAL EXPERIENCE:

Confidential

Environment: Hadoop 16.04,Sqoop,Hive,JBoss AS, Oracle DB 9i/10g/11g, Java, JSP, JavaScript, Sybase Application Server

Business Analyst

Responsibilities:

Requirement gathering
DCWS creating and validation.
Implementtaion

Confidential

Environment: Miscellaneous cross-platform technologies in Middleware (WebLogic 10,Websphere) & Database (Oracle).

Business Analyst

Responsibilities:

Design & Development,Requirement collection,Client Handling

Confidential

Environment: Java, JSP, Struts, Ajax, JavaScript, HTML,Oracle 11g

Team Lead, Analyst, Designer

Responsibilities:

Worked on assignments for multiple international and domestic clients.
Strength areas include Data Analytics using Hadoop,Hive,MapReduce,R having strong background on LIMS,Insurance business domain, direct interaction with the client while understanding/designing solutions, providing consultancy with special emphasis on management and maintenance/support of products/application systems, databases & associated software.
Purveyor of competitive intelligence and holistic, timely analyses of Big Data made possible by the successful installation, configuration and administration of Hadoop ecosystem components and architecture.
Two years’ experience installing, configuring, testing Hadoop ecosystem components.
Capable of processing large sets of structured, semi - structured and unstructured data and supporting systems application architecture.
Able to assess business rules, collaborate with stakeholders and perform source-to-target data mapping, design and review.

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