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Data Architect
Consultant Name: Naga
Total experience: 20 years
Location: Indianapolis, IN
Relocation: Yes (Nationwide)
Availability: Immediate
Rate: Negotiable C2C
Profile Summary:-
o Result Oriented Data Professional with 20 years of experience in IT
Industry in Enterprise Data Architecture, Customer Analytics and Data Warehouse
solution & BI Architecture
o Effective use of Industry frameworks such as TOGAF (Architecture
Development method and Architecture Building blocks), Gartner, Zachman & DMBOK
o Expert in Data warehouse Concepts using Ralph Kimball & Inmon
Methodology.
o Currently working with Liberty Mutual Insurance, Indianapolis on Data
Architecture for Commercial Insurance portal.
o Capable to Deliver Data Models from Complex Business scenarios by quick
understanding on any Domain using Erwin and Power Designer.
o Able to Adopt quickly the Organization processes, Methodology & Domain
for delivering the Data Architecture
o Proficient in Customer and Credit Risk Data Analytics in BFSI Domain.
o Experience in Design, Development and Implement the OFSAA product
(Customer Analytics, Credit Risk, Basel II and Performance Analytics) for
various clients in US.
o Exposure in Data Analytics and Big Data Architecture.
o 10+ years of Onsite experience in USA (Boeing, BNSF, World Bank Group
and Liberty Mutual) & UK (IMS, RBS, Lloyds, RMG, Old Mutual Wealth)
o 5+ years of Project Management experience at offshore.
CORE COMPETENCIES:
? Very Strong Exposure in Enterprise Data Architecture for various domains
o Provided effective Data Analysis, Data Discovery Analysis, Data Quality
Analysis, Data Migration, Data Mappings & Data Models by implement the TOGAF
methodology & Proprietary Data Discovery Frameworks
? Provided the Data Model for Unstructured Data received from various
search engines. Applied Text Analytics on converted Structured Data.
? Very Strong in Dimensional Data Model (Facts & Dimensions) and Data
Analytics Design
o Proficient in Data Mart (Cube) Design
o Experience in Design, Development & Implementation of OFSAA Product
? Exposure on Advanced Analytics and Data Analytics.
? Basic understanding in Predictive analytics by using WEGA machine
learning tool.
? Basic Understanding on the Business Analytics using R. (Certified
from Manipal pro lease)
? Have converted Quick sort algorithm into a program to speed up the
searching process.
? Basic Understanding on Data Lake Design to store unstructured Data
using Hadoop Technologies
ACCOMPLISHMENT RECORD:
• Received Excellence Feedback from KPMG, UK for delivering the Data
Model for Big Data Analytics Application
• Received Performance Excellence Award from Lloyds Banking Group,
Edinburgh, UK for Successful Data Design on Corporate Credit Risk application
(Feb 2013).
• Received Appreciation Award Twice from Boeing company, Seattle, US for
successful Data Analysis and Assessment for Boeing Testing Applications (Sep
2011 & Jun 2012)
• Received Performance Excellence Award Twice from HCL Technologies for
successful Data Analysis in BPR applications (Sep 2007 & Jul 2010).
• Appreciated for review on Data model and the feedback given by taking
less time
• Appreciated for analyzing the Insurance data model and the Data
Transformations within less time than expected.
QUALIFICATION
? MCA in 1997 from Nagarjuna University
? B.Sc., in 1994 from Nagarjuna University
TECHNICAL ACQUAINTANCES
DATA MODELING TOOLS : Erwin 7.3, Power Designer 15.3, Enterprise Architect,
MS Visio for Enterprise Architects
(ORM)
EA TOOLS : ARIS, System Architect & Troux
OLAP TOOLS : SQL OLAP (SSAS), Hyperion Essbase 7.1
ETL TOOLS : Informatica, Oracle Data Integrator (ODI), SSIS,
OWB (Oracle Warehouse Builder)
DW Tools : OFSAA
Reporting Tools : Hyperion Essbase 7.1, QlikView
RDBMS / ORDBMS : Oracle 9i/10g, SQL Server 2005 / 2008, PostgreSQL
Regarding rate confirmation and agreements, kindly contact Nithya @
408-459-0928 (24 * 7 support line). Looking forward to a fruitful interaction
with you and your organization
Regards,
Nithya
Senior Resource Manager
Hire IT People, Inc
Tel: 408-459-0928 | Fax: (866) 507-1637
Email 1 : [email protected]
Email 2: [email protected]
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