Data Modeler Resume

SUMMARY

Deliver large - scale data modeling, data warehousing and database mappings
Worked across a broad range of capabilities and industries, including Data Architecture, Solution Architecture, Application Architecture, Information Modeling, and Data Modeling within the Insurance industry.
With over 25 years of experience across these disciplines, developed several business transformation strategies, metadata management strategies in big data environments; the most recent was for a major international insurance company.
Led data architecture teams for a global initiative which architected both operational and informational data models for the consolidation of worldwide claims systems.
In addition, he has worked on multiple engagements as a data modeler and data architect for insurance services and other organizations.
Develop flexible, extensible, comprehensive and dimensional data warehouse data model.
Utilize unique combination of old and new database expertise for database mappings. Skilled at all facets of data architecture life-cycle, including pre- / post-support for managing client expectations.
Work on schedule and in budget using time management skills. Responsive and adaptable to changing requirements.

TECHNICAL SKILLS

Database: DB2, Oracle, SQL Server, My SQL, Access

Data Modeling: Erwin, ER/Studio, Rational Data Modeler, SQL Server Management

PROFESSIONAL EXPERIENCE

Confidential

Data Modeler

Responsibilities:

Performed data modeling, data consolidation and data mapping in most projects.
Gained experience with government Medicaid projects.
The job involved Data Mart modeling for end user reporting based on an existing data warehouse.
The reports were sent to federal government for auditing purposes and hence needed data accuracy.
Most of the models I created were in support of Cognos reporting and performance.

Confidential

Senior Managing Consultant

Responsibilities:

Performed data modeling, data consolidation and data mapping in most projects.
Gained experience with more than 30 insurance companies.
Worked on several data modeling projects, gaining understanding of current and future needs, and proposed guidelines for business transformation modeling efforts. Guidelines included enterprise data modeling efforts requiring integration of various applications with assorted data models, resolving modeling issues within multifaceted data models and divergent databases.
Guided data mapping of vendor product systems, mapped and redeveloped data interfaces with existing system data models, provided major redesign recommendations for database and application and implemented processes for externalizing business rules. This was designed to benefit from SOA environment, allowing for any vendor product architecture in future.
Consolidated and integrated data for creating data warehouse model from various applications with assorted data models and resolved modeling issues within multifaceted data models and divergent databases.
Drove better understanding and supported implementation of data warehouse modeling concepts, use of IIW and development of data mapping strategies as both educator and mentor to project teams.
Provided business data modeling in industry by working in leading-edge technologies, including Big Data and Watson environments and Confidential ’s industry models such as Insurance Application Architecture (IAA), IIW and Master Data Management (MDM).

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