Renuka Devi A

I built an end-to-end data lake architecture using an Azure Storage Account with structured containers organized into raw, silver, and gold layers. The Azure Synapse Analytics workspace was integrated with the businessstorage container to perform ETL operations efficiently. PySpark was utilized for data cleaning and transformation, while SQL was applied to implement business logic and generate business-ready datasets. This setup resulted in a scalable and efficient data pipeline designed to support comprehensive analytics and reporting requirements.

I created a data visualization dashboard to show important business insights in an easy-to-understand way. I collected and cleaned the data using SQL, then used Power BI to make charts and reports. This project helped turn raw data into clear visuals that support better decision-making.