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Business Intelligence Data Warehousin Resume Profile

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Atlanta, GA

EXECUTIVE SUMMARY

Preston is an accomplished Information Systems professional with over 25 years of comprehensive large-scale management, Business Intelligence, Data Warehousing, and Data Integration experience in diversified project design. He has a strong background in program development and quality assurance with an outstanding history of managing projects from initial conception, through development, to implementation. Preston brings an unexcelled record of bringing mission-critical projects in on schedule and within budget, especially skilled at strategic planning, budget controls and problem resolution. Lastly, Preston has outstanding communication talents with proven ability to build and lead highly efficient teams, to train technical personnel, and to convey complex concepts in understandable terms.

AREAS OF EXPERTISE

  • Informatica PowerCenter SAP Data Services Oracle
  • Informatica Data Services SAP Information Steward Sql Server
  • Informatica Data Quality Oracle Warehouse Builder DB2
  • Metadata Manager Sql Server Integration Service Teradata

PROFESSIONAL BACKGROUND

Confidential

Confidential is responsible for building cutting edge Data Warehousing and Business Intelligence solutions for Fortune 500 clients. With expertise in Informative, SAP Data Services, and Oracle Business Intelligence the consultants at Fortified Business Intelligence are well equipped to bring their subject matter expertise to any Data Warehousing situation.

  • Delivering Informatics OBIEE solutions to Fortune 500 Auto Parts Supplier
  • Mentoring client staff in Informatics and Data Warehouse Console
  • Performance tuning SQL Queries and Informatics workflows that have reduced processing time by 20

Confidential

Business Intelligence Data Warehousing

  • Confidential is responsible for building a new Data Warehousing and Business Intelligence environment. While my primary objective is to keep the current Data Warehousing and Business Intelligence active and performing optimally the secondary objective is to build the roadmap for the new system.
  • Program Management responsibilities for all Business Intelligence projects for the 7 current Point of Sales System feeding the Data Warehouse.
  • Build Roadmap for new TMX Finance Data Warehouse which includes all due diligence in selecting the appropriate tools for loading the Data Warehouse as well as Business Intelligence tools for Data Presentation.
  • Provided industry insight and technology expertise by developing Corporate Leading Practices and Standards Guidelines for Informatica PowerCenter and Informatica Data Services
  • Managing a team of 15 with a projected budget of 10MM for 2013.

Confidential

Senior Manager, Business Information Management

  • Confidential building a Center of Excellence organization for a Fortune 100 Consumer Products Company. My primary responsibilities include: P L Oversight, Account Growth Strategies, Developing Leading Practices, and Developing the Data Integration Roadmap.
  • Program Management responsibilities for all Business Intelligence projects across Financial, Customer Care and Product Supply Divisions
  • Reorganized Financial Reporting structure by creating Management Unit Paradigm so that information from both Coca Cola and Coca Cola Refreshments could be managed by 1 entity
  • Provided industry insight and technology expertise by developing Corporate Leading Practices and Standards Guidelines for SAP Data Services
  • Managing a team of 45 20 onshore 25 offshore with a projected revenue of 15M a growth of 20 over 2012
  • Increased Contribution Margin by creating College Hire Training Class to Billable Consultant program to quickly move new hires into value add billable consultants
  • Lead Data Services Architect for Central Management Reporting Project at Coca Cola Refreshments.
  • Lead Data Services Architect for Integrated Planning Project at The Coca Cola Company
  • Develop Training for Coca Cola Refreshments Training staff to use SAP Data Services

Confidential

Data Architect

To strategically design and implement data models for U-Verse Data Warehouses, data marts, and data stores, while ensuring high levels of data availability. I was also responsible for defining data standards and models for warehouse architectures. In addition I was responsible for evaluating and selecting all infrastructure components such as software, hardware, database management systems, and networking capabilities

  • Create and validate Data Models for U-Verse Data Warehouse
  • Assisted in evaluating and selecting Data Integration tool Criteria

Confidential

Consulting Manager

The Consulting Manager will be responsible for the development of a team of consulting professionals while also assuring the delivery of quality client service as a project manager. Consulting Manager will actively manage on-boarding, enablement, oversight, evaluation and career counseling of his/her team members. This involves leveraging personal experiences and providing continuous mentorship and guidance to ensure optimal and consistent field readiness of direct reports. This individual is an integral member of the overall management team. This individual is an integral member of the overall management team.

  • Successfully delivered over 30 projects using PowerCenter software, UNIX scripts using Full Lifecycle Project Management implementation
  • Data Migration project wins 2007 Informatica Innovation Award for Data Migration
  • Led Team that created new product for Informatica Professional Services to assess customer environments which resulted in 200,000 in additional revenue
  • Assisted in revision of telecommunication policy that saved Professional Services 100,000
  • Working with the Informatica Software Sales organization on opportunities--developing and presenting customer-facing presentations, identifying solutions,
  • Leads performance review feedback, training needs, and certification attainment with a constant focus towards proactive communication of consultant issues and career development opportunities
  • Audits existing engagements where direct reports are delivering work products
  • Establishing and Maintaining Quality Standards by developing procedures and processes for Coding and Testing Reviews

Confidential

Data Warehouse Architect

  • To strategically design and implement data warehouses, data marts, and data stores, while ensuring high levels of data availability. This individual is also responsible for defining data standards and models for warehouse architectures. The Data Warehouse Architect will in addition evaluate and select all infrastructure components such as software, hardware, database management systems, and networking capabilities
  • Direct a team of internal and external consultants accountable for day-to-day support
  • Assess and cultivate long-term strategic goals for data warehousing in conjunction with data users, department managers, clients, and other key stakeholders.
  • Evaluate, recommend, and select data warehouse components, including hardware, database management systems, ETL extract, transform, and load software, data mining tools, and Meta data management tools.
  • Create models for new data warehouse development and/or changes to existing data stores.
  • Design and manage data warehouse improvement and growth projects
  • Identify inefficiencies and gaps in current data warehouses and leverage solutions

Confidential

To strategically design and implement data warehouses, data marts, and data stores, while ensuring high levels of data availability. This individual is also responsible for defining data standards and models for warehouse architectures. The Data Warehouse Architect will in addition evaluate and select all infrastructure components such as software, hardware, database management systems, and networking capabilities

  • Direct a team of internal and external consultants accountable for day-to-day support
  • Evaluate, recommend, and select data warehouse components, including hardware, database management systems, ETL extract, transform, and load software, data mining tools, and meta data management tools.
  • Install and configure relevant components to ensure data warehouse access.
  • Develop, implement, and maintain change control and testing processes for modifications to data systems.

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