I’m a working Azure Data Engineer (Assistant Manager) at PwC, building and maintaining real, production-grade data platforms for global clients. Before PwC, I worked at Wipro, where I built my foundation in data engineering and learned how enterprise systems actually work beyond tutorials. Along the way, I’ve cracked offers from TCS, EY, Accenture, and Cognizant — not by mugging theory, but by understanding how things work in real projects. What I focus on daily: a. Designing end-to-end data pipelines b. Azure Data Factory, Databricks, ADLS, SQL c. Incremental loads, frameworks, automation & optimization d. Solving real client problems under real deadlines Why I created these resources 👇 -> Most learning content teaches what a tool is — very few teach how it’s used in actual projects. So I share: a. Practical PDFs based on real work scenarios b. Framework-style thinking (used in Big 4 & MNC projects) c. Things I wish someone had explained clearly early in my career If you’re a working professional, fresher, or someone stuck between tutorials and real projects, you’re in the right place. No fluff. No fake promises. Just practical learning from real experience.