David Hayes

David Hayes

Data Analytics Engineer @ Core BTS

About David Hayes

David Hayes is a Data Analytics Engineer at Core BTS, Inc. in the Greater Milwaukee Area, where he has worked since 2018. He has extensive experience in data analytics and engineering, having held various roles in companies such as QuadMed and APS Healthcare.

Work at Core BTS

David Hayes has been employed at Core BTS, Inc. as a Data Analytics Engineer since 2018. In this role, he focuses on implementing data analytics solutions and has contributed to various projects over his six years of service. His work primarily involves utilizing advanced data analytics techniques to support business objectives within the Greater Milwaukee Area.

Previous Experience in Data Analytics

Before joining Core BTS, David Hayes worked as a Business Intelligence Architect at QuadMed Employer Onsite Health and Wellness Centers from 2014 to 2018. His responsibilities included developing and managing business intelligence strategies. Prior to that, he served as a Data Warehouse Architect Lead at APS Healthcare from 2008 to 2014, where he led data warehousing initiatives. His early career included various roles at Thomson Reuters, where he gained experience as an Escalation Engineer, Software QA Engineer, and Systems Engineer.

Education and Expertise

David Hayes studied at Southern Illinois University Edwardsville from 1998 to 2002, where he completed his degree. He specializes in using Databricks and Apache Spark for data analytics projects, demonstrating a strong foundation in modern data processing technologies. Additionally, he is proficient in Power BI for data visualization and reporting, which enhances his ability to present data insights effectively.

Technical Skills and Specializations

David Hayes has extensive experience in implementing Azure-based data solutions. His expertise includes designing Data Lake Architecture and Delta Lake solutions, which are critical for managing large volumes of data efficiently. His technical skills enable him to address complex data challenges and deliver actionable insights for organizations.

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