PavankalyanReddy Azure data engineer
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When I teach Azure Data Engineering, focusing on ADF, Scala, Python, Spark, Airflow, and Flink, I emphasize a practical and hands-on approach. I believe in using real-world examples and coding exercises to make complex concepts come alive. I guide students through a step-by-step problem-solving process, encouraging them to think critically and experiment with code.

To facilitate learning, I provide a variety of resources, including online tutorials and coding platforms. These resources offer additional support outside of our classroom sessions. I recognize that everyone learns differently, so I tailor my teaching to accommodate various learning styles. Whether students are visual learners or prefer hands-on practice, I strive to make the material accessible and engaging.

Patience is key in teaching. I create an approachable environment where students feel comfortable asking questions and expressing concerns. I understand that learning data engineering concepts can be challenging, and I'm here to provide guidance every step of the way.

Ultimately, my goal is to equip students with practical skills they can apply in real-world scenarios. By blending theoretical understanding with hands-on experience, I empower students to not only grasp the concepts but also use them to create meaningful projects.

Subjects

  • SCALA Beginner-Expert

  • Apache Spark Beginner-Expert

  • Web technologies Beginner-Expert

  • Snowflake cloud data warehouse Beginner-Expert

  • Azure DataBricks Beginner-Expert

  • Apache Airflow Beginner-Intermediate

  • Azure Data Engineer - Data Factory Beginner-Expert

  • Apache Flink Beginner-Intermediate

Experience

  • full stack developer (Apr, 2019–Present) at ***Confidential, Bangalore

Education

  • B-tech (Jul, 2016–Jun, 2020) from Jntua anantapur

Fee details

    ₹500–1,000/hour (US$5.95–11.89/hour)

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