Roadmap and Top Skills for Multi-Cloud Data Engineering in 2025 to Get a High Package

Want to 4X your cloud engineering salary by 2025? Discover the proven path to becoming a highly-paid cloud engineer with insights on AWS, Azure, and GCP opportunities.

In this comprehensive guide, we break down:
• Why cloud engineering salaries are skyrocketing
• How to transition from traditional IT roles to cloud engineering
• The most in-demand multi-cloud skills employers want
• Real salary figures and growth projections for 2025
• Essential technologies you need to master

Learn why cloud engineers with 5 years of experience can demand 20-25 lakhs, while those with 10 years experience can earn 40+ lakhs. We'll show you exactly what skills and certifications you need to maximize your earning potential.

Perfect for both freshers and experienced professionals looking to transition into cloud engineering. Whether you're currently in Java, testing, or any IT role, this roadmap will help you build a lucrative career in cloud technology.

Don't miss our practical tips on:
• Building a multi-cloud skill set
• Mastering Azure, AWS, and GCP
• Creating an impressive cloud engineering portfolio
• Navigating the interview process
• Landing high-paying cloud engineering positions

Ready to transform your career and multiply your income? Watch now to learn how you can position yourself for success in the booming cloud engineering market.

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CHAPTERS:
00:00 - Recap of Last Class
02:08 - Who is a Data Engineer
05:52 - Cloud Computing Fundamentals
08:15 - Is Data Engineering Evergreen?
19:35 - Azure Data Engineering Overview
23:30 - Cloud Data Engineering Concepts
25:55 - Azure vs Cloud Data Engineering
28:03 - Demand for Multi-Skilled Professionals
34:40 - Overview of Azure
39:04 - Learning Methodology
45:39 - Course Duration Details
49:29 - Demand for Data Engineering Careers
56:15 - Eligibility for the Course
57:50 - Who Should Avoid This Course
59:30 - Understanding Data Engineering
1:02:55 - Final Day of Masterclass
1:03:18 - System Requirements for Course
1:04:40 - Daily Class Structure
1:06:34 - Certification Support Overview
1:06:57 - No Technical Degree Required
1:07:45 - Projects to Enhance Resume
1:09:58 - Course Content and Duration Overview
1:13:28 - Can Housewives or Freshers Join?
1:16:43 - Azure Account for Practice
1:17:35 - Managing Assigned Tasks
1:19:04 - Overcoming Communication Issues
1:22:25 - Additional Activities for Advantage
1:23:18 - Discussing Assignments with Peers
1:25:12 - Coverage of Docker, Kubernetes, and Linux
1:25:30 - Course Pace Expectations
1:28:20 - Addressing Project Doubts
1:29:00 - Interview Assistance Offered
1:29:44 - Agenda for Tomorrow's Session
1:30:49 - Addressing Career Gaps
1:31:10 - Data Scientist Roles Explained
1:32:15 - Understanding IAM Roles
1:33:30 - Technical Assistance Availability
1:34:50 - Experience Requirements
1:35:50 - Course Fees Information
1:38:05 - Data Warehousing Overview
1:38:45 - Salary Packages in Data Engineering
1:39:43 - US Timings for Classes
1:41:13 - Course Timings Explained
1:42:54 - Trainer Details and Background
1:44:00 - Weekend Research Activities

[mayankpatni]

Mba ve developer tech vs finance which is better future

[uditkashyap]

Is anyone looking for a study buddy to learn Data Engineering together? We can motivate each other to stay consistent and work towards achieving our goals.

Whenever I start learning something new, it feels interesting for the first few days, but as I dive deeper, it sometimes gets boring without someone to appreciate the progress or share ideas with. Having a study buddy can make the journey more engaging and enjoyable.

If you’re interested in this field and want to learn together, please let me know. Let’s collaborate and grow together!