Yordan Ivanov
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ivanovyordan.com
Yordan Ivanov
@ivanovyordan.com
Head of Data Eng | Building modern systems + sharper leaders
✍️ datagibberish.com | 📕 ivanovyordan.com
When you act like a service desk, everybody treats you like a service desk. Nobody asks for your opinion.

You might be essential for strategic projects, but nobody mentions your name and you have nothing for your CV.
The Customer Service Mindset Is The Fastest Way To Destroy Your Data Team
Treating your engineering team like a help desk is a fast track to low-impact work, invisible contributions, and a department full of replaceable order-takers.
open.substack.com
February 17, 2026 at 8:00 AM
February 16, 2026 at 9:00 PM
AI replying to comments written by AI under an AI generated posts.

What a time to be alive!
February 13, 2026 at 11:29 AM
February 12, 2026 at 9:00 PM
Talented engineers leave when the process stops them from finishing work.

They move to companies where the system handles the friction.

A senior engineer spending 20% of their time on deployments costs the company one full day of salary every week.

www.datagibberish.com/p/deployment...
February 12, 2026 at 8:00 AM
I have no skills.
Not a single one.

Should I feel left behind for not using OpenClaw?
February 11, 2026 at 9:00 PM
Podcasts are FREE
Blogs are FREE
YouTube is FREE

Learning is FREE.
What's stops you then?
February 11, 2026 at 11:36 AM
The best way to train a senior DE isn’t a code review.
It’s letting them ship a design you know will break.

Technical intuition is forged in the cleanup, not the doc.

Let them fail safely on internal stakes. No blame. Just scar tissue.

Stop protecting them from growth.
February 10, 2026 at 9:01 PM
Most data engineers fail the whiteboard interview before they write a line of code.

How you think you pass a whiteboard interview:

- Memorize LeetCode solutions
- Suggest tech stacks
- Draw diagrams immediately
- Work in silence
February 10, 2026 at 8:00 AM
Ideas come from reading.
Clarity comes from writing.

I read this somewhere and I deeply believe it.
February 9, 2026 at 9:00 PM
5 luxiuries in data

- Fun technical projects
- Clear requirements
- Well structured data
- Realistic expectations
- Budget for people and tools

What else?
February 9, 2026 at 8:26 AM
Anyone else feeling app fatigue lately?

New apps, new logins, new password.

I thought the Internet was suppose to make things easier.
February 5, 2026 at 9:00 PM
AI engineering is basically data engineering with a new badge.

"AI support” is a big part of the data eng job, but you can build the actual solutions.

Same concepts, new labels: ETL, tasks, DAGs.

You’re closer than you think. Full mapping in comments
February 5, 2026 at 8:00 AM
If tools like Snowflake feel too expensive, you probably don’t need them.
Instead, go with a more straightforward solution like PostgreSQL.

It’s much cheaper to manage.
January 28, 2026 at 9:00 AM
The best data engineering work is invisible.
No outages.
No angry PMs.
No broken dashboards.

Which means…

No credit.
No praise.
No promotion.

You prevented the fire.
So no one believes it was ever real.
January 27, 2026 at 9:00 AM
Modern data career path:

- Pay $300 to memorize a vendor brochure
- Pass a test with 4 answer choices
- Add “Certified Engineer” to LinkedIn
- Get billed out at $300/hour
- Get paid the same as last week
January 27, 2026 at 9:00 AM
The fastest way to lose trust after a pipeline failure
is naming the tool first.

Explain impact, not libraries.

Flow stopped. Signal broke. Decision worsened it. Guardrail fixed it.

Systems > syntax.
January 26, 2026 at 8:00 PM
Agile was supposed to make teams faster.
Instead, it made managers feel busier.

"Agile" often just means "we don't have a plan, so you'll have to work weekends."

If you’re shipping broken pipelines under the banner of velocity, you are not agile.
January 26, 2026 at 9:00 AM
Data folks often ask
"How can I give more value to my stakeholders?"

A better question is:
"How am I helping the business?"

You already do a lot. Know your value.
January 19, 2026 at 4:35 AM
Do you type or dictate when you interact with the AI?

Dictation weird initially, you know, like I'm talking to myself.
Now It reminds to the times when when I'd sit with a junior and how to write code.

PS: Don't do it in public unless you want to make people feel awkward.
January 18, 2026 at 8:00 PM
I just rebuild my personal website and vibecoed the shit out of it.

→ Design: Google AI Studio
→ CMS: Pages CMS
→ Hosting: Cloudflare Pages
→ Backend: Cloudflare Workers

0 cost.

Check the the full write-up: https://www.ivanovyordan.com/blog/building-my-personal-website-with-ai-write-up
January 18, 2026 at 9:00 AM
Data folks often ask
"How can I give more value to my stakeholders?"

A better question is:
"How am I helping the business?"

You already do a lot. Know your value.
January 18, 2026 at 5:57 AM
Want to grow beyond a senior data engineer?
Move beyond code
own business problems.

https://www.datagibberish.com/p/how-to-stop-waiting-for-permission-to-lead-data-engineering
January 17, 2026 at 5:16 PM
Stop nodding in meetings.
Demand clear logic.

Don't be a human middleware. Be an engineer.

https://www.datagibberish.com/p/the-presumption-debt-in-data-engineering-projects
January 13, 2026 at 5:00 PM
Stop chaos in data projects.

Turn vague requests into clear commitments before you start.

https://www.datagibberish.com/p/the-data-project-entry-manual
January 12, 2026 at 3:51 PM