Developed Source to Target Mapping from 13 Major source systems. Strategic data modeling: This is part of the creation of an information systems strategy, which defines an overall vision and architecture for information systems. Developed data architecture prototypes and data models including ETL staging models, audit control models and traditional data warehouse dimension/fact models. Created Source to target Mapping Matrix for the ETL developers in loading the data to Dimensions and Fact Tables using DataStage. Utilized ERwin Data Modeler to capture Datamart requirements for a database design consisting of 100+ Tables across nine subject areas. They may also constrain the business rather than support it. Worked on analyzing source systems and their connectivity. Earned promotion for excellent knowledge of database design and data structures to assume responsibility for enhancing enterprise data administration processes. Assisted in development of a System-of-Systems (SoS) engineering-based process tailored to the PEO G-7 organization and functions. Developed logical and physical data models to support the enterprise, OLTP, and OLAP projects. Hard skills like these are helpful to have when it comes to performing essential job responsibilities. Therefore, data definitions should be made as explicit and easy to understand as possible to minimize misinterpretation and duplication. Created and reviewed scripts to create new tables, views, queries for new enhancement in the application usingTOAD. Typical duties listed on a Data Modeler resume sample include translating business requirements, reducing data redundancy, migrating data from one system to another, and collaborating with data architects. Automated code deployment by writing scripts in Linux to avoid/minimize deployment errors. The average salary for a Data Modeler with Microsoft SQL Server skills is $78,465. Worked with Microsoft Visio for model designing purposes. Designed SSIS to populate data from various data sources, creating packages for different data loading operations for application. To increase your chances of getting an interview call, showcase your effective analytical thinking, documentation, communication, team-working, time-management and multi-tasking skills. Collected the data from different OLTP systems based on the requirement. Assisted application developers with performance tuning of application queries and SQL. Created the file layouts for any new data being received or extracted from ODS and BDW. Reviewed models with DBA have to best-fit physical Model Indexes for better DB performance. Consolidated existing SSRS reports to Micro Strategy reports without losing the functionality. Migrated legacy data from seven departmental databases into a unified database for 40+ users in a Windows NT environment. Search for jobs related to Data modeler skills or hire on the world's largest freelancing marketplace with 18m+ jobs. Designed and implemented staging and dimensional data models for the enterprise data warehouse. an overview and classifications of used terms and their relationships) for a certain universe of discourse i.e. Evaluated and monitored Freddie Mac's Business / Operational risk management control and governance practices. If you have large databases and need to find logical data modeling tools for multiple … Involved in UNIX shell scripts to load data from flat files to Netezza database. Translated all business security reporting and analysis requirements and models into working ETL process. Migrated data from various sources into main database and performed necessary conversions. Analyzed on what enhancements needed on the source systems. Developed Data Migration and cleansing rules for the integration architecture. Involved in upgrading Patch Levels of Linux operating system and remediation of migrated scripts to the new box. Used: C++ and C/Metaphase (PDM)/Paradigm Plus Object Modeling Tool/Clearcase and Oracle on HP-UX (Unix). Ronald van Loon has written an interesting article on the 9 Skills You Need to Become a Data Modeler. Assessment test on data modeling is designed by experienced subject matter experts (SMEs) to evaluate and hire data modeler based on industry standards. Participated in JAD sessions with application teams, reviewed and gathered the requirements. Resolved Priority Production Support Issues and defect fixes in PL/SQL code, which were mainly because of migrated data. Designed and implemented an Enterprise Data Warehousing solution for Citi-REL using Teradata Financial Services Logical Data Model (FSLDM). Developed web-based business intelligence various reports Crystal Reports and SSRS for sales penetration data. Involved in managing integration assets to enable in-depth analysis using Metadata Workbench. Designed physical data mart schema optimized for Teradata. Automated support tasks by evaluating customer needs and designing self-serve applications. Dimensional data is a core component of modern business intelligence and data warehouse implementations. Principally, and most correctly, it can be thought of as the logical design of the base data structures used to store the data. They are able to work with nodes and streams, generate nodes from output, and build and deploy models. Managed several GSNL development Oracle databases enabling concurrent development for multiple sub-projects. Experienced in setting up connections to different Databases like SQL, DB2. Performed Data Stewardship roles like implementing data standards, creating metadata and managing databases. Designed and developed Star Schema and created Fact and Dimension Tables for the Warehouse using Erwin. Developed SQL Server Views, PL/SQL Stored Procedures and Packages for generating metadata reports. Worked with ETL developer in order to code the pended claims data flow for Accolade and Claims History Services. 1,104 Data Modeler jobs available on Indeed.com. Debugged the DDL as required and reviewed the data model to ensure the all changes were incorporated into the data model. Reviewed job flows, which access the SDW from the Supported other teams, helped them with their data modeling needs, and provided feedback when required. Translated the logical model into physical model using Forward Engineering technique in ER/studio tool for both OLAP and OLTP systems. Mentored JAVA development staff in using DB2. We’ll be focusing on the services offered. Designed UML case diagrams contribute in the Functional Requirement documents. Involved in logical and Physical Database design & development, Normalization and Data modeling using Erwin and SQL Server Enterprise manager. What is a Data Model? Enthusiastic learner and excellent problem-solver. Worked Extensively with DBA and Reporting team for improving the Report Performance with the Use of appropriate indexes and Partitioning. Created the data models for OLTP and Analytical systems. To get a clear understanding, customize your resume with the given below sample Data Modeler resume:- Data Modeler Resume Sample. Involved in gathering data from OLTP systems and creating ER diagrams. Divided model into subject areas for reflecting understandable view to business as well as data model reviewers. Worked in creating UNIX scripts for file transfer and file manipulation. Entity types are often not identified, or are identified incorrectly. Conventional data models, on the other hand, have a fixed and limited domain scope, because the instantiation (usage) of such a model only allows expressions of kinds of facts that are predefined in the model. Based on our collection of resume examples, these professionals should demonstrate data modeling expertise, analytical thinking, strong communication skills, time management, teamwork, … The individuals' experience and skills should be focused around the Azure data ecosystem for best fit into the requirements of this role. Worked on the Functional /Technical Specifications and mapping documents based on the Business requirements. Modified and tested various mainframe modules (CICS/COBOL/DB2/IMS/MQ) to comply with HIPAA requirements. Created conceptual, logical and physical models for Teradata database where source database were DB2 & Oracle. Designed STAR schema for the detailed data marts and plan data marts consisting of confirmed dimensions. Based on Conversion Guidelines and Business requirements did data mapping to achieve the data conversion/migration successfully. This means that small changes in the way business is conducted lead to large changes in computer systems and interfaces. Collected data from the source OLTP systems and implemented the changes in the model. Generated operational reports from ODS as opposed to the transactional/ legacy system. Developed semantic layer to assist in identification of a data integration strategy. Modified logical and physical relational and dimensional models for sales analysis BI reporting. Implemented SharePoint 2007 in the group and designed EDW sitemap and wiki. Assisted unit, integration and certification testers in creating the test cases and validating those test cases against the models. Supported: Java, .net, Apache Application Server. Data modeling skills test helps recruiters & hiring managers to assess candidate’s data modeling skills. Identified and analyzed the source system to load master data in to target in Teradata. 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