I’m an Azure Data Engineer with 5+ years of experience. Over time, I’ve given a lot of interviews myself and that completely changed how I look at preparation. I’ve cracked 18 Azure Data Engineering interviews and converted 12 of them into offers from companies like Fractal Analytics, Tiger Analytics, EPAM Systems, Gartner, PwC, EY, Deloitte, Genpact, Accenture, and Publicis Sapient. Because of this, I understand what actually gets asked, what matters, and what doesn’t. In the last 1 year, I’ve helped 32+ professionals — especially those targeting Fractal Analytics — with referrals, preparation strategy, and guidance through each round of the process. Most people struggle not because they don’t know things… but because they prepare in the wrong direction. That’s exactly where I try to help. If you’re preparing for Data Engineering roles, I can help you with: How to actually prepare (not just what to study) Resume improvements Mock interviews (SQL, PySpark, ADF) Real interview patterns from top companies