Rich Etheridge Email & Phone Number

Salt Lake City, Ut, Us

Salt Lake City, Ut, Us

Las Vegas, Nevada, Us

Chandler, Arizona, Us

Part of the team that developed a process for highly automating source-to-cloud data migration and delivery through lakehouse medallion architecture using Databricks, Azure Data Factory and Synapse Analytics.Implemented version 1 architecture for university client.Data migration for government-regulated client and creation of external scheduling capabilities.Developed a compact form of product for client using Azure Data Factory and Synapse Analytics.Full-scale implementation of version 2 architecture for new client using ADF and Databricks.

South Jordan, Ut, Us

Scaled ambitious business intelligence ideas, transforming them into sustainable long-term program. Guided business in adopting new tools and platforms, while building foundational models for future growth. Established essential standards, expectations, versioning, and automation with small team to achieve set goals.Instigated a move to, and began work on, an enterprise data warehouse because the company had found itself deep in business intelligence without a proper foundation. Restarted the company's data quality initiative by reducing a multiple-year collection of a million contacts by 70%. Established new rules hierarchy to avoid future problems.Started a master data program to ensure consistent language and quality of data across the business. Defined and documented process for creating a Customer Master amongst differing source systems. With creative requirement illustration, guided ChainSys developers in building an intelligent tool to effortlessly visualize and merge cross-account duplicate sites in Oracle EBS. Streamlined processes and best practices tailored to each specific data source required for acquisition, encompassing diverse range, including Agile, Oracle EBS, OBIEE, Microsoft Dynamics, Adobe Omniture, ServiceNow, Workday, Protheus, Cisco Informix, Newton, SABA, Access, Excel, CSV, and various web services.Developed lineage tools to monitor and bridge the gap in SQL Server's dependency tracking.Developed a scheduling system to maintain hierarchy, prerequisites, and order while running in parallel groups to ensure data warehouse could maintain a service-level agreement within one hour of operational systems and scale well. This was a reduction from the previous 48-hour SLA. Developed a data-driven and parameterized approach to rapidly migrate data warehouse to Azure using Data Factory.Established server classroom environment, enabling team to embark on their journey into machine learning.

Riverton, Utah, Us

Selected to produce an enterprise data warehouse to end the company's increasing problems with clashing between operational and reporting systems and to pursue business intelligence avenues.Developed standards and practices to be used for all aspects of data warehouse development and reporting. Generated excitement and participation from business managers.Created data warehouse solutions from end to end. Gathered requirements from business managers and users to define scope. Developed dimensional, logical and physical models. Created data mappings and supporting documentation to create dimension and fact tables. Wrestled away responsibility of the business intelligence databases and machines from the systems team. This put all the administration (and accountability for outages) into the hands of the data warehouse team. Painful at first, but huge improvements in reliability and performance quickly followed.Leveraging the knowledge and expertise of key business users, provided a single view of the three biggest things that contribute to customer dissatisfaction. This resulted in interactions between departments moving from one of self-protection to unification behind a common goal.Developed a plan to bring a greater expertise to the company’s 35 analyst and report writers while implementing an upgrade to OBIEE 11g. Created documentation and taught day-long classes giving users a basic level of competence and instilling confidence. Advanced instruction and documentation later introduced by data warehouse team members at regular intervals to keep users engaged.

Riverton, Utah, Us

Managed the software development lifecycle of corporate applications from development through QA and production on all tiers and ensured that all systems were constantly available. Integrated ClearCommerce, customized Intuitve ERP, and developed many 3-tier applications and business utilities using Visual Basic 6.0, ASP, Foxpro 6.0, COM, IIS, VB.NET, C#, ASP.NET, and an extensive amount of SQL.

Managed Peregrine Systems Web Technologies Intranet team and coordinated the Web application development for each of Peregrine's 70 departments worldwide.Improved and adapted Choiceseat technology for Madison Square Garden, incorporating a custom web-based interface using SQL, DHTML, VBScript, JavaScript, ASP, and remote scripting in an environment consisting of high-resolution touch panel displays, video, and credit card readers.Front-row seat to the dot com bubble burst.

Master Of Science - Ms, Data Analytics

Bs, Business / Computer Science

Computer Science