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.