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Senior Data Architect/data Analyst Resume

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SUMMARY

  • Extensive working knowledge in Data Architecture, Relational Data Modeling, Dimensional data modeling and data warehouse concepts
  • Significant experience in market leading cloud architecture and cloud databases such as AWS Redshift, RDS, Aurora, Snowflake Computing
  • Expertise in building responses in Request for Proposal (RFP) and customer presentation
  • Expertise in Industry Standard data models - IBM Insurance Information Warehouse (IIW)
  • Excellent knowledge in CA Erwin Data Modeler and Model Manager
  • Ability to work with IT stake holders and business owners to understand business and IT priorities thereby build an efficient data architecture plan and subsequently execute it
  • Ability to adopt and build data architecture standards, principles and processes
  • Ability to provide thought leadership for architectural and implementation initiatives
  • Demonstrated sense of logic, decision making and problem resolution skills with excellent communication, written, analytical and facilitation skills

TECHNICAL SKILLS

Data Modeling Tools: CA Erwin 9.2, 8.2, 7.3, 7.2 and 4.1.4

Database Programming Languages: Oracle SQL, PL/SQL

Database: Oracle RDBMS 11g, 10g and 9i, AWS Redshift, Snowflake Computing DW, AWS RDS, AWS Aurora

Domain Skills: Domain

PROFESSIONAL EXPERIENCE

Confidential

Senior Data Architect/Data Analyst

Responsibilities:

  • Confidential is built to extract business intelligence and create dashboard for the business users to identify the important metrics for all the claims filed against the policies supplied by The Hartford for Commercial, Personal line of businesses.
  • Counter Fraud Management (CFM) data mart is built to construct business intelligence and analytics to identify and counter frauds related to claims.

Confidential

Senior Data Architect/Data Analyst

Responsibilities:

  • Strategic Information Delivery (SID) program is part of Retirement Services’ (RS) Tech Strategy which is set to deliver new capabilities for RS in order to meet future business needs.
  • SID will develop centralized data repository, Business Information Factory (BIF) which will serve as a single point of access (book of record) for information maintained and/or analyzed by RS.
  • The proposed Business Information Factory will meet RS Strategic business needs by providing - A scalable and flexible environment to meet business growth, Consistent and timely data to information consumers, Complete business data, Configurable and reusable assets for faster time to market, Cost efficiencies for future projects, Data for analytical and operational needs for RS business consumers
  • Data/information delivery services for RS applications, Support for the seamless acquisition and integration of new business, Timely Up-to-date information to supporting systems

Confidential

Senior Data Architect/Data Migration Specialist

Responsibilities:

  • Confidential provides consumer knowledge and insights based on continuous consumer market monitoring, advanced analytics.
  • A big part of this activity to maintain and manage data about the consumers who themselves act as the data provider for Confidential .
  • Confidential manages different segment of products as part of different ‘Panels’, such as FMCG panel, Lifestyle panel, petrol panel.
  • Consumers who take part in these panels to supply their buying information are called panelists.
  • As part of a developing a new global panel management system data migration from Confidential ’s old panel management system to the new system was taken up for each country one after another.

Confidential

Senior Data Architect

Responsibilities:

  • The Confidential data architecture team requires data architects who will utilize Confidential data architecture frame work to fulfill individual project data architecture and data model needs.
  • Confidential wants to develop a data architecture solution that is flexible to accommodate future trends for the involved data subject and applications, standardize data elements requirements to be in line with enterprise inventory data model and define enterprise codes and values for coded attributes.

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