Davis & Shirtliff
October 2021 - presentBusiness Intelligence Developer
Use Python to automate manual tasks.
Building and maintaining Python ETL scripts.
Manage data warehouse.
Working with Azure DevOps and Git to manage code.
Collect and maintain the set of business reporting requirements.
Implement BI reports based on the above requirements.
Analyze existing reports and optimize them for standardization across the company.
Set up and maintain BI tools, infrastructure, and integration with company data
sources.
Work with data warehouse architects, data scientists, and data collection application
engineers. Propose data schema and data flow optimization for reporting performance
and enhancement as needed.
Understanding database operations and optimization.
Understanding data modeling and data schemas.