Course Overview
🌟 Welcome to "Data Engineering with Azure, AWS, GCP"! This beginner-level course is designed for anyone eager to explore the dynamic field of data engineering and harness the power of leading cloud platforms.
- 👩🎓 Target Audience:
- Individuals looking to start a career in data engineering and gain foundational knowledge of cloud platforms.
- Professionals from non-technical backgrounds interested in transitioning into data-related roles.
- Students or recent graduates aiming to enhance their skill set with practical understanding of data engineering concepts.
- Anyone keen to learn how to efficiently manage, process, and analyze data using Azure, AWS, or GCP.
📊 Throughout this course, you will:
- 🌐 Understand the fundamental concepts of data engineering and its importance in today’s data-driven world.
- ☁️ Gain hands-on experience with major cloud platforms: Azure, AWS, and GCP.
- 🛠️ Learn how to design, build, and maintain scalable data pipelines.
- 🔍 Explore tools and technologies for data storage, processing, and analytics.
- 📈 Develop practical skills to manage and analyze large datasets effectively.
💡 No prior technical experience is required! Join us to kickstart your journey in data engineering and unlock new career opportunities in the cloud! 🚀
Course Features
Whom is this course for?
- Individuals looking to start a career in data engineering and want to gain foundational knowledge in cloud platforms.
- Professionals from non-technical backgrounds who are interested in transitioning into data-related roles in Azure, AWS, or GCP environments.
- Students or recent graduates seeking to enhance their skill set with practical understanding of data engineering concepts and cloud services.
- Anyone eager to learn how to efficiently manage, process, and analyze data using major cloud platforms, regardless of prior experience.
Course Modules
Detailed Syllabus
Class Schedule (IST)
jayanth penumarthi
Hello there! 👋 I am Jayanth Penumarthi, a seasoned Data Engineer with a Bachelor's degree in Computer Science and Engineering, which I completed in 2019.
For the past five years, I have been honing my skills at Tiger Analytics, where I have been working as a Data Engineer. During this time, I've been able to work on a variety of challenging projects, and I've learned so much about the nuances of data engineering.
🧑💻 In addition to my professional experience, I have also spent the last three years teaching data engineering. I found that teaching complements my work well; it keeps me on my toes, ensures that my knowledge is up-to-date, and allows me to share my passion with others. It's a win-win!
📚 I am really excited to share my knowledge and experiences with you all through this platform. My courses are designed to be engaging, practical, and filled with real-world examples. Let's dive into the world of data engineering together! 💼 Looking forward to seeing you in the course! 💬
Highest Education
Btech
CSE
Completion year: 2019
Work Experience
Data Engineer
Tiger Analytics
Total duration: 5 years
Teaching Experience
Data Engineering
Total duration: 3 years