In this video, I’m focusing on common mistakes to avoid as you start your journey to becoming a data engineer. These insights are based on my years of experience in the industry. Let’s dive! Comprehensive Data Engineering Roadmap ⚡️ 🏅 COURSES & CERTIFICATES Top Data Engineer Courses: Data Engineer in Python - Professional Data Engineer in Python - Associate Data Engineer in SQL - Building APIs in Python skill track - Top Data Analyst Courses: Data Analyst with Python - Data Analyst with PowerBI - Associate Data Analyst in SQL - Top Data Scientist Courses: Associate Data Scientist in Python - Associate Data Scientist in R - Industry Recognised Certifications: Data Engineer Certification Program - Data Analyst Certification Program - Data Scientist Certification Program - SQL Associate Certification Program - WATCH THESE VIDEOS NEXT: 👀 starting a career in Data Engineering 10 things I wish I knew… 👀 AI agents tutorial: replacing entire Data team ◽️◽️◽️◽️◽️◽️ TIMESTAMPS: 0:00 Intro 0:11 Mistake #1 00:43 Mistake #2 01:10 Mistake #3 01:45 Mistake #4 02:40 Mistake #5 03:10 Mistake #6 03:37 Mistake #7 04:14 Mistake #8 04:35 Mistake #9 04:55 Mistake #10 Please tell me if this video was helpful, I do appreciate your feedback!











