Clairvoyant

Let's all figure out what's best for us and adapt to it - be it WFH or WFO or Hybrid. I remember a quote by Sadhguru saying "you should do what you love" or "you should love what you do"? The answer : if you are brilliant, you'll end up doing what you love. but if you are a genius, you'll do what's needed. let's detach and do it rather than penning out personal takes or frustrations. Modi Ji won't read this or yours or any other post. Humble request is to maintain the decorum of LinkedIn to professional tech/non-tech communications only. This is not X or Fb or Reddit. You can always talk to your line manager as and when needed whether in person or virtually. I think that's all matters, can't you? 😆

just finished compiling everything I wish I had before my Data Engineering interviews. 🧵 spent weeks going through real interview experiences, documentation, and actual questions asked across companies. condensed it all into one place. saving this might save you days of prep. 📌 🔥 10 Topics That Actually Come Up in Data Engineering Interviews: 1️⃣ RDD vs DataFrame vs Dataset — when to use what and why 2️⃣ explain lazy evaluation. why does Spark not execute immediately? 3️⃣ Catalyst Optimizer vs Tungsten — most people confuse these two 4️⃣ narrow vs wide transformations — and how shuffle kills performance 5️⃣ coalesce() vs repartition() — with a real ETL scenario 6️⃣ how does Delta Lake achieve ACID compliance on distributed storage? 7️⃣ what is data skew and how do you handle it in production? 8️⃣ Medallion Architecture — Bronze → Silver → Gold with real use cases 9️⃣ Structured Streaming — watermarks, checkpointing, exactly-once semantics 🔟 how does AQE (Adaptive Query Execution) optimize queries at runtime? 📌 these aren't random theory questions. these are the exact scenarios interviewers throw at you when you claim 6+ years of Spark experience. put together an 274-page PDF covering: ✅ Easy → Medium → Hard questions ✅ PySpark code examples for every concept ✅ Databricks-specific topics — Delta Lake, DLT, Photon, Unity Catalog ✅ real-world optimization scenarios ✅ Many Companies interview questions 🎥 Level Up Your Data Engineering Skills! Want to see these concepts in action? Check out my YouTube channel. 📺 Subscribe for more technical deep dives: https://lnkd.in/gdMQm-tA ♻️ repost to help someone in your network who's prepping for a DE interview! #DataEngineering #ApacheSpark #PySpark #Databricks #DeltaLake #SparkSQL #InterviewPrep #DataEngineer #BigData #LearningInPublic

The timing for the Chevrolet Bolt’s return feels pretty spot on. Affordable options matter, and more choice matters too. #IWorkForGM

Cadillac just cleared 100,000 EV sales, and that says a lot. Bold design, advanced tech, and a customer experience that keeps turning heads. #IWorkForGM