Durgeshwar Pratap Mishra

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Snowflake Training

4

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Big Data Training

3

Teaching Experience in detail in Big Data Training

I am a software developer and Big Data trainer with 6.4 years of IT experience across technologies such as Snowflake, Snowpark, SnowSQL, PySpark, Python, Hadoop, Hive, Shell Scripting, Unix, and Linux. Along with my professional experience in the IT industry, I have a strong interest in teaching and helping students build practical, job-oriented technical skills. I conduct online Big Data classes for students and working professionals, providing a balanced combination of theoretical concepts and practical hands-on learning. My teaching approach is focused on making every concept clear, meaningful, and easy to understand rather than simply completing the syllabus. In my classes, I first explain the fundamental concepts and theory so that students understand why a particular technology or feature is used. After that, I focus more on practical implementation through coding exercises, SQL queries, real-time examples, troubleshooting, and industry-oriented scenarios. This helps students understand not only what a technology does, but also how and where it is used in real projects. My training areas include Big Data and data engineering technologies such as Hadoop, Hive, PySpark, Python, Snowflake, Snowpark, and SnowSQL, along with Shell Scripting, Unix, and Linux. I also try to connect different technologies wherever possible so that students can understand how they work together in a complete data engineering environment. I encourage students to write and practice code themselves rather than depending only on demonstrations. During practical sessions, I explain the logic step by step, discuss common mistakes, and help students understand how to troubleshoot problems. My goal is to develop problem-solving skills and confidence, not just theoretical knowledge. I believe effective technical training should be practical, interactive, and aligned with real-world industry requirements. Therefore, I use real-time examples and project-oriented scenarios wherever possible. I also encourage students to ask questions and clarify their doubts so that they develop a strong understanding of the subject. My objective as a trainer is to provide meaningful technical knowledge that students can actually use in projects, interviews, and their professional careers.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in SQL Programming Training

4

Teaching Experience in detail in SQL Programming Training

I am a Software Developer and Big Data Trainer with 6.4 years of IT experience across technologies such as Snowflake, Snowpark, SnowSQL, PySpark, Python, Hadoop, Hive, Shell Scripting, Unix, and Linux. Along with my professional experience in the IT industry, I have a strong interest in teaching and helping students build practical, job-oriented technical skills. I conduct online Big Data classes for students and working professionals, providing a balanced combination of theoretical concepts and practical hands-on learning. My teaching approach is focused on making every concept clear, meaningful, and easy to understand rather than simply completing the syllabus. In my classes, I first explain the fundamental concepts and theory so that students understand why a particular technology or feature is used. After that, I focus more on practical implementation through coding exercises, SQL queries, real-time examples, troubleshooting, and industry-oriented scenarios. This helps students understand not only what a technology does, but also how and where it is used in real projects. My training areas include Big Data and Data Engineering technologies such as Hadoop, Hive, PySpark, Python, Snowflake, Snowpark, and SnowSQL, along with Shell Scripting, Unix, and Linux. I also try to connect different technologies wherever possible so that students can understand how they work together in a complete data engineering environment. I encourage students to write and practice code themselves rather than depending only on demonstrations. During practical sessions, I explain the logic step by step, discuss common mistakes, and help students understand how to troubleshoot problems. My goal is to develop problem-solving skills and confidence, not just theoretical knowledge. I believe effective technical training should be practical, interactive, and aligned with real-world industry requirements. Therefore, I use real-time examples and project-oriented scenarios wherever possible. I also encourage students to ask questions and clarify their doubts so that they develop a strong understanding of the subject. My objective as a trainer is to provide meaningful technical knowledge that students can actually use in projects, interviews, and their professional careers.