Data architect professional with over 12 years designing and implementing Business Intelligence/Data Warehouse solutions. Have gathered requirements, designed and implemented over 20 medium to very large BI/Data Warehouse processes. Proficiencies include project management, data integration, business analysis, data analysis and mapping, logical and physical data modeling, corporate naming standards, drafting Data Dictionary and Meta Data documentation and data transformation. • Possess excellent written and verbal communication skills, along with excellent leadership and interpersonal skills. • In-depth understanding of project lifecycle, including all phases of project development from gathering requirements, design, testing, implementation and support. • Highly competent application and dimensional modeler. Effectively articulate business rules, requirements, standards and logical modeling constructs to other BI team members and business users. • Business areas include: Accounting, Ecommerce, Supply Chain, HR, Labor Management, CRM, Merchandising and Point of Sale. Specialties: Data Warehouse Lifecycle (Kimball) Methodologies, IBM Retail Data Warehouse (REDW), ER/Studio and ER/Repository, IBM Cognos BI Framework Manager, Hyperion Interactive Reporting. DB2, Neteeza. Extensive knowledge and experience with data integration and DWH modeling concepts such as dimensional modeling, normalized data warehouses, slowly changing dimensions, operational data stores and OLAP designs.

Business Intelligence Data Architect @ Responsible for Data Warehousing and Application Enterprise data modeling and data architectures. Also responsible for Cognos Framework Manager architecture and development. From July 2001 to Present (14 years 6 months) Sr. Data Analyst Data Warehouse @ Responsible for Design and implementation of Data Warehouse databases. From September 1989 to June 2001 (11 years 10 months)

BS, Computer Information Systems @ DeVry Institute of Technology From 1986 to 1989 Roselle Park High School Bruno D'Amato is skilled in: Data Warehousing, DB2