July 2026 DE/DA Interview Course

I was part of the May 2026 batch of the DE Interview Cracking Course, and it genuinely boosted my confidence. The weekly sessions were great for clearing all my doubts and getting an in-depth understanding of the topics we practiced through the week by solving daily questions. I'm now much stronger in Data Modeling and PySpark, areas I struggled with before. The case studies were really valuable, they showed how real projects work at scale and the trade-offs in scaling data pipelines. The material is well tailored for junior and mid-level engineers too. After these two months, I feel genuinely ready for interviews. Thank you for putting in the effort to deliver more than what was promised in the demo session. Highly recommend!

The course structure is very well organized. Each week starts with the fundamentals and gradually progresses to advanced concepts, making it easy to build a strong foundation before tackling complex topics. The materials shared after the weekend sessions are extremely helpful for revision and hands-on practice. The sessions are truly eye-opening and thought-provoking. They challenge our understanding and make us realize how much there is still to learn. Even though I am already working as a Data Engineer, I have gained a great deal of in-depth knowledge from this course. Venkat's expertise and real-world insights bring a level of depth that goes far beyond the day-to-day work experience, and I still feel there is a lot more to learn from his knowledge and experience. His teaching approach not only helps us understand concepts but also encourages us to think more deeply about how things work in practice.

I found the classes and study materials to be highly practical and experience-oriented. The content was based on real-world scenarios and personal industry experience rather than just theoretical concepts. Although I come from a Data Engineering background, many of the interview scenarios covered in the course were situations I had never encountered in my day-to-day work. Those very scenarios turned out to be the key to cracking my Level 2 (L2) interviews. One of the biggest turning points for me was realizing where I was going wrong. I had attended nearly **6–7 interviews** and kept getting rejected, even though I felt I was performing well. After going through the course materials, I understood exactly what I had been missing and where I needed to improve. That insight made a significant difference in my interview performance. Due to personal commitments, I couldn't attend the last few sessions live. However, the recorded videos were comprehensive and helped clear all my doubts, ensuring I didn't miss out on any important concepts. I would highly recommend this course to anyone preparing for interviews. However, my advice is not to just watch the sessions—**work through every exercise and practice diligently**. If you do that consistently, you'll significantly improve your interview skills and greatly increase your chances of success. Thank you for creating such a valuable and practical course. It genuinely made a difference in my interview journey.

Hi, I have gained confident after attend the course, he clarifies all the doubts. He is very knowledgeable and answer all our qns and clarify the doubts patiently. He is giving equal importance to AWS and Azure services. If you already have some knowledge but lack the confidence to apply it effectively or perform well in interviews, this course is definitely for you.

I highly recommend this Data Engineering Crash Course for anyone looking to strengthen their understanding of Data Engineering concepts. The instructor is extremely helpful, patient, and always willing to answer questions in detail, no matter how basic or advanced they are. What I found most valuable is the depth of the concepts covered. It’s not just a surface-level course — many of the topics are explained in a way that will continue to be useful even later in your career, especially when you grow into senior or architect-level roles. One suggestion before joining: it’s better to have some basic knowledge of Data Engineering or have completed an introductory course elsewhere. Since the concepts are covered in depth, having a foundation will help you understand and absorb the material much better. Overall, a very insightful and valuable course for serious learners in Data Engineering.