The Right Mindset

It Will Happen	The Right Response
You will spend 3 hours on a bug that turns out to be a typo.	This is the job. Every data engineer has been there. Use the 30-minute rule.
A pipeline will break in a way you completely do not understand.	Read the full error message. Add logging to every step. Isolate the failing component.
dbt test will fail and you will not know why.	dbt debug is your friend. Read the compiled SQL. Run it directly in psql.
Your Power BI measures will return wrong numbers.	Check your filter context first. CALCULATE() and ALL() are the most common culprits.
Airflow will show all tasks as green but the data will be wrong.	Green means the task ran — not that it produced correct output. Always validate downstream.
You will feel behind compared to others.	Everyone moves at a different pace. Focus on your own understanding, not speed.

Professional Habits That Will Define Your Career

Read the full error message. The answer is almost always in it.
Read the official documentation. Not just a tutorial — the actual docs.
Validate your output at every step. Do not assume a step worked because it did not crash.
Commit small and often. If something breaks, you want a small diff to debug.
Write READMEs as if you will forget everything in a week — because you will.
Communicate early when you are behind. Instructors can help you reprioritise.
Ask "why does this work?" not just "does this work?"

You were selected because someone believed you could do this.

Build things. Break things. Fix things. Learn every day.

Good luck — and welcome to the team.