• Development of custom data architectures, within Azure, to best serve clients' current and future data goals.• Technical guidance, oversight, and development of other engineers within Quisitive, working to ensure their success and the success of Quisitive.• Serving clients' needs as a main technical resource, with the goal of education, implementation, and training on best practices.• Engineering data systems through the use of technologies such as: ADF, Synapse, Databricks, AzureSQL, and Power Platform• Contribution of expert level Business Intelligence and Analytics guidance, best practices, architecture, and implementation.

• Creation and maintenance of wholistic data architectures within Azure cloud• Establishment of tailored PowerBI architecture and reporting and development cycles• Development of ETL processes for the ingress and egress of data

• Constructed new infrastructure within Azure Cloud and handled migration of data sources from AWS and various on prem resources.• SQL Server Database management though the optimization of SPROCs, restoring databases, column type changes, table entry, and memory management.• Managed SSRS reporting via the creation of new reports, SQL query optimization, and business analytics.• Ad hoc python scripting such as OCR, predictive analytics, and automating SQL script creation.

• Developed predictive analysis scripts using machine learning to forecast inventory usage.• Preformed actionable analytics via querying the SQL Server and MongoDB databases and creating and maintaining Power BI reports.