Databricks is the Data + AI company. With origins in academia and the open-source community, the company was founded in 2013 by the original creators of Apache Spark™, Delta Lake, and MLflow. Built on a modern Lakehouse architecture in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.Today, more than five thousand organizations worldwide — including Shell, Comcast, CVS Health, HSBC, T-Mobile, Starbucks, and Regeneron — rely on Databricks to enable massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics

MetiStream specializes in making Big Data solutions more accessible to end customers. The company designs and improves data pipelines using innovative Open Source technologies such as Apache Spark and other Hadoop-related technologies. The company helps organizations innovate faster with less effort.

Helping customers solve IoT, Big Data, and distributed engineering scenarios using Azure CosmosDB - Microsoft's globally distributed, multi-model database. With the click of a button, Azure CosmosDB enables you to elastically and independently scale throughput and storage across any number of Azure's geographic regions. It offers throughput, latency, availability, and consistency guarantees with comprehensive service level agreements (SLAs), something no other database service can offer.

Wearhacks'​ mission is to promote innovation and education in Wearable Technology and Internet of Things around the globe. Check us out at: http://wearhacks.com.

Databricks is the Data + AI company. With origins in academia and the open-source community, the company was founded in 2013 by the original creators of Apache Spark™, Delta Lake, and MLflow. Built on a modern Lakehouse architecture in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.Today, more than five thousand organizations worldwide — including Shell, Comcast, CVS Health, HSBC, T-Mobile, Starbucks, and Regeneron — rely on Databricks to enable massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics

Concur is the leading provider of spend management solutions and travel services in the world. Concur’s services touch its global customer base of over 20,000 clients and 25 million users. Processing more than $50 billion in Travel and Expense (T&E) spend each year, Concur provides a connected, effortless and transparent experience for corporate travelers and financial managers. • Leading the Data Sciences Engineering team with focuses on Big Data and NoSQL including technologies such as Apache Spark, Apache Kafka, Hadoop, Machine Learning, and Graph databases.• Focus on continuous delivery within scalable distributed systems for On-Premises and Cloud environments. • As part of the Architecture team under the CTO’s office, provide guidance on software, database, and operations infrastructure and architecture.

Principal PM within SQL Server working on BI and Big Data projects.Former Lead of the Big Data, BI, and DW Group within Microsoft's SQL Customer Advisory Team.• Developed and implemented the customer strategy for Project Isotope: Hadoop on Windows and Azure• Technical advisor on key Hadoop on Windows and Azure customer implementations as well as major contributor to the Hadoop on Windows and Azure community and wiki articles • Strategic and Technical Advisor for some of the largest most complex SQL Server implementations in the world including Yahoo!'s 24TB Analysis Services cube (largest in the world), PDW incubations, and Data Warehouses.• Co-creator of the SSAS Maestros Program for top SQL BI Analysis Services specialists• Generated comprehensive technical guides ranging from sqlcat.com's most popular article "Top 10 SSIS Best Practices" to the Analysis Services Performance Guide. List of articles can be found at: http://dennyglee.com/articles/• Accomplished author on Analysis Services and Healthcare Informatics: http://dennyglee.com/books-2/• Creator of the popular SQLCAT.com web site to showcase technical deep dives of enterprise SQL Server implementations• Program Manager and Developer of Bing / adCenter web analytics OLAP and Data Warehousing team• Business domain expertise in web analytics and healthcare

Directs all employees, contractors, and out-sourcing vendors insuring the smooth execution of data warehousing projects. Projects include:• Reconciliation Data Mart 1.0: PM / Architect / Developer of a project processing Mobile, Messenger, and external partner data sources into a comprehensive aggregate and detail data in the form of a 3.8 TB data mart. • CMRG Marketing Survey: PM / Developer of the CMRG Marketing Survey data mart compiling Microsoft business rules and data with external partner surveys allowing users to quantify customer satisfaction.• Ahold USA: Continued to support their OLAP-based data warehousing solution as per below.

Specialized in enterprise OLAP and SQL data warehouse solutions. Tasks included build, test, design, management (PgM & lead), development, operations and consulting. Projects included:• MSNIA DW Connectivity 1.0: With Microsoft Consulting Services, built test and build infrastructure and took on dev lead role for MSN Internet Access analytics project in the form of a 1.6TB data warehouse. • Ahold USA: Built and trained their development and operations teams to create, maintain, and deploy an OLAP-based data warehousing solution

Develop / architect enterprise level Olap and SQL solutions (a Microsoft case study) against a hosted terabyte data warehouse servicing multiple customers. Managed internal developers and external vendors for development of core and consulting projects. Other duties include project management, analysis, and face-to-face customer consultations. Please refer to left bar graph to determine current skill set.Publication:Bain, Benkovich, Dewson, Ferguson, Graves, Joubert, Lee, Skoglund, Turley, Youness, and Scott. (2001) Professional SQL Server 2000 Data Warehousing with Analysis Services, Wrox Press, ISBN: 1-861005-40-7.• Chapter 9: Building OLAP Cubes with Analysis Manager (Beginner)• Chapter 18: Web Analytics (Advanced)

Developing intra / internet finance, marketing, sales, and customer support data warehousing applications - publication and reporting (OLAP/web) solutions.