Adam Q H
About Adam Q H
Adam Q H is a Senior Data Engineer and Data Architect at Valorem Reply in Kansas City, Missouri, with over a decade of experience in data engineering and business intelligence across various companies. He holds a B.S. in Computer Science from Tashkent University of Information Technologies and an MBA from Illinois State University.
Work at Valorem Reply
Adam Q H has been employed at Valorem Reply since 2019, serving as a Senior Data Engineer and Data Architect. In this role, he is responsible for scheduling ETL packages that routinely deliver data into staging tables. He prepares data before it is loaded into the data warehouse, ensuring that data is organized and accessible for analysis.
Previous Employment Experience
Before joining Valorem Reply, Adam worked at DSI® as a Senior SQL/BI Developer and Data Engineer from 2017 to 2019. He also held the position of Full Stack BI Developer and Conversion Analyst at Thomson Reuters from 2015 to 2017. Adam's earlier experience includes working as a SQL BI Developer at Wells Fargo Capital Finance from 2012 to 2015, and as a SQL Developer at State Farm® from 2009 to 2011.
Education and Expertise
Adam Q H holds a Bachelor of Science in Computer Science from Tashkent University of Information Technologies. He also earned a Master of Business Administration (MBA) in Management Information Systems from Illinois State University. His educational background supports his extensive experience in data engineering and architecture.
Technical Skills and Cloud Solutions
Adam has extensive experience with Microsoft Azure and AWS cloud solutions. He is proficient in Azure Data Factory and Azure Blob, as well as AWS RDS SQL Server. His technical skills include staging data from various sources, implementing complex transformations, and configuring data pipelines to automate data flow using Python and Azure Data Factory.
Data Management and Security
In his roles, Adam has implemented Row Level Security and User Group management in Power BI reports. He has staged data for building warehouse dimensions and facts, utilizing complex transforms and slowly changing dimensions (SCD) type 1 and type 2 changes to ensure data integrity and security.