Description
Igor is Microsoft Data Platform Solution Architect. He interfered with both the generalists and specialists in the MSFT sales and delivery teams (including partners services Internal Microsoft Product / Service organizations) focused on consumption of the Data platform in high potential accounts. Igor applies advanced analysis skills and experience in principals of architecture to define appropriate customer solutions. He has 23 years of deep experience with implementation of large software systems. He understands competitive technology (17 years at IBM) and how to properly assess feasibility of migrating customer solutions from and/or integrating with customer solutions hosted on non-Microsoft platforms. Igor Gonchar was IBM USA GBS Enterprise Solutions Architect Executive IT Architect Certified Consultant in Technology and Integration for the IBM Software Group Information Management and Center of Excellence for MDM solutions and responsible for the information management integration services in SOA environment. Lead teams responsible for the definition design and construction of core Data Warehouses & Data Management solutions within large-scale Customer Relationship Management (CRM) initiatives. Successfully designed and implemented a large-scale data warehouse and an enterprise Operational Data Store (ODS) Directing the data modeling support for project specific needs while ensuring enterprise consistency. Leading the development of strategic Operational and Informational Data Architecture. Defined developed and supported the Meta Data Strategy and Repository. Very knowledgeable in the Business Area Analysis Object-Oriented Analysis Conceptual Logical and Physical Data Modeling. Data Warehouse Consultant and the focus are the modeling design construction implementation and testing of data warehousing solutions for clients across different industries. Design and develop Business Intelligence reporting solutions perform analysis of reporting requirements and provide plans for implementation of OLAP technology Analysis of business processes and requirements data modeling OLAP for Data Warehouse
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