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Prashant
- Rate $10
- Response 17h
-
Students16
Number of students Prashant has accompanied since arriving at Superprof
Number of students Prashant has accompanied since arriving at Superprof

$10/hr
1st lesson free
- Databases
- MySQL
- Data Analysis
- Oracle
Data engineer with 10 years of experience in big data application development, skilled in Apache Spark, Kafka, Airflow, cloud services (Azure Data Factory, Azure Databricks), and expert in ETL an
- Databases
- MySQL
- Data Analysis
- Oracle
Lesson location
About Prashant
Hello! I'm a passionate and experienced Software Engineer with over 9 years of hands-on experience in the Big Data and Cloud domain. Throughout my career, I’ve worked on complex, large-scale data systems using tools like Apache Spark, Kafka, Airflow, Azure, Databricks, and a wide range of SQL and NoSQL databases. I’ve trained colleagues, mentored new joiners, and helped teams upskill — and now I’m here to help you. Whether you're a college student, a working professional, or someone looking to start a career in data engineering, I bring not just technical knowledge but also the ability to explain complex topics in a simple, approachable way. I believe in clarity, structure, and patience. Every student is different, so I adapt my teaching style to match your pace and goals. With real-world examples, hands-on exercises, and personalized guidance, I aim to make learning both effective and enjoyable. Whether you're a college student, a working professional, or someone looking to switch careers, I’m here to guide you with hands-on lessons, industry insights, and personalized support. Let’s make your learning journey both efficient and rewarding.
About the lesson
- All Levels
- English
All languages in which the lesson is available :
English
As a teacher, I focus on building a strong conceptual foundation and connecting theory with real-world applications. My teaching style is practical, interactive, and tailored to the learner’s pace and background. Teaching Techniques & Methods: I use a hands-on approach with real-time examples, industry use cases, and step-by-step explanations. I emphasize clarity in fundamentals before moving to advanced topics. I also use visual aids, coding walkthroughs, and quizzes to reinforce learning. Class Structure: Introduction (5–10 mins): Recap of the previous session and outline of the current topic. Concept Building (15–20 mins): Detailed explanation using examples. Hands-on Practice (20–30 mins): Live coding, exercises, or tool demos. Doubt Solving & Recap (10–15 mins): Open Q&A and summary of key points. Assignments: Optional tasks for practice between sessions. Special Features as a Teacher: 9.5 years of industry experience in Big Data and Cloud Clear, patient, and adaptive to each student’s learning style Strong focus on practical knowledge and job-oriented skills Guidance on project work, interview preparation, and real-time problem solving Intended Audience: My classes are ideal for: College students looking to strengthen their skills or prepare for placements Working professionals aiming to switch to Big Data or enhance their current role Adult learners or career changers seeking structured, beginner-friendly guidance
Reviews
All of our reviews are collected by us and are 100% reliable. They correspond to a real experience had by the students of Prashant.
Perfect! I had a great learning experience with Prashant . Their way of teaching data engineering concepts is clear and practical. They explain complex topics in a simple way and make sure every student understands. The hands-on examples and real-world use cases really helped me strengthen my understanding. Highly recommended for anyone who wants to learn data engineering effectively!
- Nishad has a solid understanding of concepts. He is a quick learner. I enjoyed sessions with him.Prashant's response :
See more reviews
Rates
Rate
- $10
Pack prices
- 5h: $48
- 10h: $96
free lessons
The first lesson with Prashant will allow you to get to know each other and discuss your needs for future lessons.
- 1hr
online
- $10/h
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