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 😜

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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 😉 

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

Data Developer

REWE Group

- Datentechnischer Aufbau und Betreuung einer Business Intelligence Landschaft 
- Konzeptionierung und Umsetzung neuer KPIs, Berichte und Dashboards

Supply Chain Data Architect / Data Analyst

- Datenbasierte Analyse der Warenversorgungsströme entlang der Supply Chain
- Datentechnischer Aufbau neuer KPIs und automatisierter Berichte

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