Fabian Werkmeister

I help you to become fluent in Data and enable you to translate between business & tech ★ Data Scientist @FUNKE ★ 🐍Python 🤖Data Science 🛠️Data Engineering

We are swimming in data.
Yet decisions are still based on gut feeling.
I build systems that close this gap ⬇️

I didn't start in tech, but switched over from economics.
That made me become a data engineer, who understands both business and data very well.
I don't just build pipelines, I build actionable data systems on the Google Cloud Platform that help you decide what to do next.

Here's what you can expect working with me:
1. Business First
Coming from a business background, I speak your language. I use simple and GCP-native setups, keeping your costs low and maintenance easy. My success metric isn't lines of code written, it's how fast I can help you make good decisions based on your data.

2. No Black Boxes
I don't build for you, I build with you. My process is "White-Box," meaning nothing is hidden and you will be involved from day one. All done within in a transparent and communicative partnership. 

3. Engineering with Heart
I believe technical projects fail due to human friction, not because of technological issues. I bring reliability, empathy and a huge passion for my craft to actually solve your business problems.

If you are looking for a Senior GCP Data Engineer who combines technical depth with business clarity and a genuine, transparent partnership  - let’s talk!

👉 Book a free call with me (you can find the link below) to see if we are a match.

Data Scientist

Growth only happens outside of your comfort zone.
And this year I'll be stepping 𝘄𝗮𝘆 outside of mine!

What began as a random idea during lunch last year turned into a company with my wife Daniela Werkmeister
Introducing: 𝗪𝗲𝗿𝗸𝗺𝗲𝗶𝘀𝘁𝗲𝗿 𝗟𝗮𝗯𝘀 🚀

As of today, I am available as a 𝗙𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿 𝗮𝗻𝗱 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁.

𝗪𝗵𝗲𝘁𝗵𝗲𝗿 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗮𝗱𝘃𝗶𝗰𝗲, 𝘀𝗵𝗼𝗿𝘁-𝘁𝗲𝗿𝗺 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗼𝗿 𝗵𝗲𝗹𝗽 𝘄𝗶𝘁𝗵 𝗲𝗻𝘁𝗶𝗿𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀, 𝗵𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗱𝗼 𝗳𝗼𝗿 𝘆𝗼𝘂:
✅ GCP Data Engineering & Architecture
✅ Data Integration & Modeling
✅ Data Warehouse & BI Reporting
✅ Data Strategy & Architecture Consulting

You get technical excellence delivered with a huge passion, a lot of ❤️ and the right pinch of humour :)

Because in the end, data projects are about people working together to solve problems.


I am ready to build something amazing with you!

𝗪𝗵𝗲𝗻𝗲𝘃𝗲𝗿 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗿𝗲𝗮𝗱𝘆, 𝗯𝗼𝗼𝗸 𝗮 𝗳𝗿𝗲𝗲 𝗰𝗮𝗹𝗹 𝘄𝗶𝘁𝗵 𝗺𝗲 𝗵𝗲𝗿𝗲:
https://lnkd.in/eNy-gb8j
(you can also find the booking link on my profile)

I build actionable data systems on GCP that drive decisions | Technical excellence delivered with passion & ♥️ | Freelance Data Engineer & Independent Consultant

Your most powerful skill in data is not Python or SQL.
𝗜𝘁’𝘀 𝘁𝗵𝗲 𝗰𝗼𝘂𝗿𝗮𝗴𝗲 𝘁𝗼 𝗮𝘀𝗸 𝗯𝗮𝘀𝗶𝗰 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀.

I used to sit in meetings with business and sales
Nodding along when "revenue" was thrown around
Definitely didn't want to look like I don't know the basics

One day, I actually had to recompute this column
I noticed that I had no idea how to approach that
Felt embarassed to ask, since project start was long ago

But I couldn't continue, so I just asked in the next meeting:
"Can we briefly define 'revenue' in this specific context?"
Long story short - got the best explanation ever 😅

Expected to get an epic roasting
Indeed got several 1 on 1 deep dives
Just by getting involved and asking questions!

𝟯 𝗘𝗮𝘀𝘆 𝗦𝘁𝗲𝗽𝘀 𝗵𝗼𝘄 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗱𝗼 𝘁𝗵𝗶𝘀:
1️⃣ Play the beginner and ask fundamental questions
2️⃣ Listen carefully and 𝘄𝗿𝗶𝘁𝗲 𝘁𝗵𝗲 𝗮𝗻𝘀𝘄𝗲𝗿𝘀 𝗱𝗼𝘄𝗻!
3️⃣ Try to keep your tech jargon on a basic level, too


It feels uncomfortable to ask basic things.
But there is something much more uncomfortable:
➡️ 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 𝗮 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝘁𝗵𝗮𝘁 𝗻𝗼 𝗼𝗻𝗲 𝘁𝗿𝘂𝘀𝘁𝘀


𝗣𝗦: next level is to ask 3 different departments and align their vastly different definitions of "revenue! 😜

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Hi, I'm Fabian👋
I write about actionable data systems on the GCP
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𝗔𝗺𝗮𝘁𝗲𝘂𝗿: "I build complex data platforms"
𝗣𝗿𝗼: "I talk to stakeholders"

I used to think my job as a data engineer was to stay quiet and build the most sophisticated solution possible.

I thought business context was just random noise.

𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁?
❌ I built complex solutions for problems that didn't exist.
❌ I delivered "insights" that no one could use.
❌ I was frustrated because nobody "got it."
➡️ 𝗗𝗮𝘁𝗮 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗶𝘀 𝗷𝘂𝘀𝘁 𝗿𝗮𝗻𝗱𝗼𝗺 𝗻𝗼𝗶𝘀𝗲

𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝟯 𝘁𝗵𝗶𝗻𝗴𝘀 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗱𝗼 𝘁𝗼 𝗽𝗿𝗲𝘃𝗲𝗻𝘁 𝘁𝗵𝗶𝘀:

𝟭. 𝗧𝗮𝗹𝗸 𝘁𝗼 𝗽𝗲𝗼𝗽𝗹𝗲
Don't guess what they need - have a conversation!

𝟮. (𝗧𝗿𝘆 𝘁𝗼) 𝘀𝗽𝗲𝗮𝗸 𝘁𝗵𝗲𝗶𝗿 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲
Stop hiding behind your tech jargon and try to understand their goals and challenges, even if this takes 2 or 3 calls

𝟯. 𝗦𝘁𝗮𝗿𝘁 𝘀𝗶𝗺𝗽𝗹𝗲
Take 1 problem and solve it with the minimum setup
➡️ Then iterate and build upon this


𝗬𝗼𝘂 𝗮𝗹𝘀𝗼 𝘄𝗼𝘂𝗹𝗱𝗻'𝘁 𝗰𝗼𝗼𝗸 𝘂𝗽 𝗮 𝟱-𝘀𝘁𝗮𝗿 𝘀𝘁𝗲𝗮𝗸 𝗱𝗶𝗻𝗻𝗲𝗿 𝗶𝗳 𝘆𝗼𝘂𝗿 𝗴𝘂𝗲𝘀𝘁𝘀 𝗮𝗿𝗲 𝘃𝗲𝗴𝗲𝘁𝗮𝗿𝗶𝗮𝗻𝘀 😜

---

Hi, I'm Fabian👋
I write about actionable data systems on the GCP
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Don't rely on goals for the new year.
𝗕𝘂𝗶𝗹𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 ⤵️

We all know the drill.
1st of January.
Motivation is high.

You set giant, ambitious goals.
❌ "I'll read 50 books."
❌ "I'll finally get fit and live more healthy."
❌ "I'll become an expert in Python, AWS and Snowflake."

By February, life happens.
Motivation fades.
You quit.

I used to fall into this trap every single year.
Until I shifted my mindset from 𝗚𝗼𝗮𝗹𝘀 to 𝗦𝘆𝘀𝘁𝗲𝗺𝘀:

✅ "Read 50 books" ➡️ 𝗥𝗲𝗮𝗱 𝟭𝟬 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝗯𝗲𝗱. 
✅ "Get fit " ➡️ 𝗧𝗿𝘆 𝘁𝗼 𝗴𝗲𝘁 𝟭𝟬𝗸 𝘀𝘁𝗲𝗽𝘀 𝗶𝗻 𝗲𝗮𝗰𝗵 𝗱𝗮𝘆. 
✅ "Master Python" ➡️ 𝗟𝗲𝗮𝗿𝗻 𝗳𝗼𝗿 𝟭𝟱 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝗮 𝗱𝗮𝘆.

This removes the pressure and focuses on consistency.
And remember my favorite equation: 𝟭 > 𝟬
Doing a tiny bit is always better than doing nothing at all!


Here's how I approach 2026:
• 10min of self-compassion and gratitude before bed
• 20min of working and coding on a new pet project 
• Cold shower immediately after waking up
  (let's see if this one will work out 😅)


𝗣𝗦: In 2026 I will also start the biggest thing in my professional career, but more on that tomorrow 😉 

---

Hi, I'm Fabian👋
I write about actionable data systems on the GCP
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Tobias Zwingmann

Author of AI-Powered BI (O'REILLY) | AI Coach & Mentor | I help organizations leverage AI and use data more intelligently to improve business performance. Sharing AI use cases & learnings.

My AI rule is simple. "If it doesn't cut costs, save time, increase throughput, remove risk or unlock revenue, it gets cut".In 5-continent wide enterprises and in the mid-sized companies finding $10k+ monthly savings in unexpected places I've helped, Profitable AI is about the same thing: Finding the overlap of what AI can do and what your bottom line needs it to do.Here's how I can help:→ Read the book: "The Profitable AI Advantage" – Frameworks for finding &amp; executing AI opportunities that pay off→ Use PAIGE: My AI strategy tool that helps you identify and evaluate opportunities for your specific business  → Join the Club: Direct access to me as you implement AI in your business (capped at 100 members)→ Work with me: When you're ready, my firm RAPYD.AI delivers AI strategy consulting and custom implementations that pay for themselves.I share what I'm learning every week in my Profitable AI newsletter – read by 10,000+ professionals who are tired of flashy demos and want real results instead.Follow along if you like. Or better: tell me what you're trying to figure out.

Managing Partner

We help you build amazing AI products faster.

In 2026, building a quick demo is effectively free. AI lets you pace through the Discovery phase at 10x speed. But look at the chart:
 
There is a cliff between Discovery and Delivery.
 
Where the "Exit Probability" spikes.
 
Where you realize the data isn’t ready.
Or the model isn’t reliable enough for a live customer.
Or the edge cases are too expensive to fix.
 
That high failure rate is actually fine. 
It’s a filter.

The problem is if the shipping rate is 0.

Because ROI only happens when you cross the blue line into Production.

Building the "shipping muscle" – to take the one surviving idea and deploy it as a real asset – is the most important skill that counts right now.

(Image adapted from Augmented Analytics, O'Reilly (2024)

Author: The Profitable AI Advantage. Created profits with AI from enterprise giants to 20-person teams.

Aaaaand that’s another wrap! It’s been super fun to record a new hands-on AI course, first time at the LinkedIn studios Graz. Huge thanks to the whole crew Jessica B. Violeta Puerta Cano Gregor Verdovsek Natalie Pao and more for a smooth experience and really cool live action setup. 

Looking forward to the release!

Can’t reveal the title yet, but it you want to build local AI automations without much technical overhead, this one’s for you.

Stay tuned.

PS: Back on the other side of the alps. Biggest benefit of small airports is you can just walk to your plane lol.

No alternative text description for this image

PwC just released a new survey with 4,454 CEOs across 95 countries.

Take a look at this chart:

56% saw zero financial benefit from AI.
Only 12%(!) saw revenue AND cost impact.

What are these 12% doing differently? 

According to the report, the winners have:

✓ AI-ready tech stack and data environment
✓ A clear enterprise AI roadmap
✓ AI governance and risk management in place
✓ People and culture readiness for change

All of which are huge.

But 1 critical piece is still missing. 
(Tbh I think it's the most important.)

I'll break down what that is in Saturday’s newsletter.

Sign up before Saturday, 3:00 PM CET to get it in your inbox.
(Link under my name)

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The Battle

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Fabian Werkmeister's LinkedIn Performance

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