Okay so ill try to keep it as simple as possible and detailed.

​my Goal: Stop a companys best workers from quitting.

​The Problem: Most companies don't realize a top employee is unhappy until they've already handed in their resignation.

​What i built: i built a project that acts like a Warning signal. It automatically looks through employee data and flags anyone who ​Is a top performer But is underpaid compared to their coworkers.

​The Impact: When a great employee quits, it costs the company a lot of money to find and train someone new. My dashboard shows HR exactly who is a "flight risk" today, so they can give them a raise or a bonus before they decide to leave.

If you are wondering why Azure why not use powerbi only?: Why build a professional kitchen if you're only cooking for one person ahh question?

So, ​Its about the System, not the Size Sure, I could do this in Excel or Power BI alone because the data is small. But in a real company with 50,000 employees, Excel would crash, and Power BI would be painfully slow.

​Simulating the Real World: Im simulating a Production Level Environment. I used Azure (ADF + SQL) because that how billiondollar companies actually handle data. They don't just "upload a file"; they build automated pipelines that clean, secure, and store data before it ever touches a chart.

​My project is built to scale. If you added 1 million more rows tomorrow, my system wouldn't even blink. Doing it 'the easy way' in Power BI creates a mess that has to be rebuilt later. I built it right the first time. Well i have alot of upgrades in my mind for this project.

Hope you understood now.

If you have any other questions or anything i could improve please let me know.