Data Architecture and Management: Understanding of Azure SQL technology, including SQL databases, operational data stores, and data transformation processes.
Azure Data Factory: Expertise in using Azure Data Factory for ETL processes, including creating and managing pipelines.
Python Programming: Proficiency in writing Python scripts, particularly using the pandas library, for data cleaning and transformation tasks.
Azure Functions: Experience with Azure Functions for handling and processing Excel files, making them suitable for database import.
API Integration: Skills in integrating various data sources, including APIs, into the data warehouse.