Daniel Wang

Master's

Data Science

Hexagon

Data Scientist and Data Engineering Intern

Using PySpark and Azure Synapse, developed an ETL pipeline transforming data from internal storehouses using KQL and external APIs using SQL, developing an end-to-end monitoring and notification system for cost and resource consumption that achieved annual cost savings exceeding $1 million across departments. Leveraged Power BI, Azure Workbooks, Azure Resource Manager, and KPI aligned data analytics to develop compelling visualizations and quantify reduction of over 30% of total excess cloud costs to stakeholders.