- Wrote Python scripts in Azure notebooks to call Power BI REST APIs using access tokens, flatten the data to create DataFrames, and write the DataFrame to a lakehouse - Implemented parallelization with SparkSession to reduce run-time and increase efficiency- Used Data Analysis Expression (DAX) and Power Query to analyze and transform data- Imported data sources and created connections in Power BI to use in reports- Created reports and dashboards in Power BI to visualize data- Created flows in Power Automate to use in Power BI reports- Wrote documentation on the Python scripts and API calls to assist with knowledge transfer- Planned and conducted user research: created personas, formulated research questions, created prototypes, conducted interviews, and synthesized results- Updated documentation through designing and updating SharePoint sites and creating PowerPoint presentations

- Multitasked to assist multiple customers at once, resulting in consistently exceeding revenue quotas- Used online database to search stock, available locations, and shipping dates- Informed and demonstrated various shoe care products to customers

- Communicated with showing and listing agents to book and confirm home showing appointments- Processed bank drafts and deposits- Wrote and emailed landlord commission statements- Created contact lists in Toronto MLS