Microsoft Certified Data Engineer (DP600& 700) Specializing teaching- in demand pyspark, sql , MS Fabric , Databricks , Azure and Databricks.

I’m Rahul Sharma, and I specialize in teaching Data Engineering tools with a practical, student-focused approach. My goal is to make complex concepts simple and useful for real-world applications. I teach essential data tools like Databricks and Ms-fabric along with PySpark, SQL covering everything from data cleaning to reporting. Students learn how to write clean Python code, build queries in SQL, and create dashboards in Databricks , MS Fabric and Power BI. As a certified data engineer with hands-on experience in Azure Data Factory, Microsoft Fabric, and Databricks, I guide students in understanding how real data pipelines work in the cloud and how to handle large-scale data efficiently. Whether you’re a student, beginner, or professional looking to upgrade your skills, I tailor my teaching to your pace and level. I believe in learning by doing, and I’m committed to helping you grow your skills with clarity and confidence.

To make complex topics easily understandable, I follow a structured yet flexible teaching approach focused on clarity, real-world relevance, and student engagement. I begin by breaking down each concept into simple, relatable parts, using visual explanations, analogies, and real-life examples. Whether it’s a complex pyspark concept, a SQL query, or a data pipeline, I first explain the why before the how, helping students connect theory to practical applications. I use a step-by-step method, starting with fundamentals and gradually moving to advanced topics. I ensure students actively participate through hands-on exercises, live problem-solving, and mini-projects. For technical topics like Python or Power BI, I use real datasets and walk students through code and logic in live sessions, encouraging them to try it themselves. I also adapt my pace based on the learner’s level—revisiting concepts where needed, offering recap sessions, and giving personalized feedback. For math, I often use graphical methods and problem pattern recognition to boost understanding. My goal is not just to teach but to build confidence and independent thinking. I believe learning becomes effective when students understand the concept deeply and can apply it on their own in real scenarios.