Data Modeling Resume Sample

Data Modeling professionals develop conceptual, logical, and physical data models for databases and data warehouses, and ensure high data quality, and less redundancy. They work with data architects and analyze business requirements, implement data strategies as well as optimize, and update data models. If you are really interested to work for this profile, you will need an effective Data Modeling resume that makes you stand out from the competition. The resume must display your expertise in data model development and usage, identifying and reducing data redundancy, data migration and profiling, requirement analysis, metadata management, SQL data modeling, DDL generation and model repository development, data validation and troubleshooting, data modeling standards, data model documentation. To increase your chances of getting an interview call, showcase your effective analytical thinking, documentation, communication, team-working, time-management and multi-tasking skills.

To get a clear understanding, customize your resume with the given below sample Data Modeling resume:-

Sample Data Modeling Resume

Ellen C. Bates
1637 Union Street
Seattle, WA, 98106, USA
Phone No: 206-623-5789
Email: ellenCbates@anymail.com

Career Summary:

Highly-dedicated, enthusiastic and professional Data Modeler with more than 6 years of experience in creating, updating and maintaining physical, logical or conceptual data models, and designing databases as per business requirements. Capable of setting data modeling and design standards, implementing data strategies, identifying missing or redundant data as well as possess excellent communication, analytical, problem-solving, team-working, project management, and organizational skills.

Summary of Skills:

Work Experience:
Data Modeler
ADP Tech Group, Seattle, WA
February 2018 - Present

Data Modeler
CGI Technologies, Seattle, WA
April 2016 - January 2018

Data Modeler
SoftVision Systems, Seattle, WA
December 2013 - March 2016

Education and Training:

Reference:
On Request.


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