James is an Enterprise Senior Solution Architect/Data Architect/Data Engineer with over 20 years of experience in the design, development and management of large enterprise-wide data solutions. Though his background is deeply technical, James is very effective in helping businesses and sponsors to communicate ROI and value identification. James lead in the creation of several very large Enterprise Data Hubs(EDH) that utilized cloud, EDW and Hadoop technologies as the basis of their platform. These EDH’s were designed to be the source for both corporate reporting and analytics, be the corporate data integration Source of Truth, be the storage point for both structured and unstructured data (Data Lake), to vend data (via ESB, streaming and messaging) to data customers and to offload ETL processes. James has expertise in Information Management, Advance Analytics, Data Integration/Ingestion, Big Data, Data Warehousing, MDM, Governance, Cloud Architecture, RDBMS, Analytics, Lambda Architecture, NoSQL databases, and IOT.

Enterprise level Data Warehouse/Data Architect/Big Data and Data Integrator Architect with over 20 years experience in the design, development and management of large enterprise-wide data solutions. Projects have been implemented utilizing industry leading best practices, management approaches, methodologies, standards and techniques that are required to successfully manage and implement large-scale data warehouse, Big Data and data integration projects and teams. Core competencies include: ROI and business value identification, functional/requirements analysis, enterprise-level data architecture experience, Agile and full life-cycle experience on all levels of large/complex enterprise projects; team mentorship and development; strong relational and multi-dimensional modeling experience; customer data integration; mobile Business Intelligence and architecture, master data management (MDM), ability to build consensus within a complex organization; fluent technical and business strategic orientation; collaborative management skills; and strong technical/business communication skills. KEY CLIENTS: Fannie Mae, Cardinal Health, AEP

 Developed system that enabled mobile business intelligence as well as cloud-based business intelligent solutions Architect a large data federation/virtualized data warehousing solution that includes the following architectural layers: portal, security, active data model(s), appliances(Exalytics, Exadata, Hadoop), and mobile business intelligence and analytics Defining the following standards: Data Warehousing, Data Management, integration, Data Governance, Master Data Management, Data Quality Defined and implemented large enterprise Operational Data Store and Big Data which consisted of Exadata, Oracle Big Data Appliance (Hadoop), Exologic, Coherence and ExalyticsKey Client: Toyota