Cloud ETL pipeline for LendingClub 2018Q4 loan data using Azure Databricks (Spark), ADLS Gen2, and Azure SQL.
Includes a single Colab/Databricks notebook, project report, and an Azure setup walkthrough with screenshots.
Why it’s useful: cleans messy, semi‑structured finance fields (e.g.,
"36 months",%rates), standardizes types, derives “good/bad” loan flags, and lands curated data in Azure SQL for BI/analytics.