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GCP Data Stack

Practical data engineering on Google Cloud — tips and lessons from real projects.

  • One practical tip in every post
  • From your first query to production pipelines
  • Best practices and lessons from real projects

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Before you ask for a GCP role

Deployer vs runtime service account

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What I help with

I'm Bartek — a Google Cloud data engineer. I build data pipelines and the infrastructure around them — tested, documented, and easy for your team to maintain.

BigQuery · GCS

Warehouse design

Raw data from files and source systems turned into clean, well-organized BigQuery tables — ready for reporting and analysis.

Dataform · dbt

Pipelines that hold up

Transformations built as small, tested steps — easy to understand, safe to change, and clear about what depends on what.

Terraform · Cloud Run

Infrastructure as code

Reproducible Google Cloud infrastructure and deployable batch services — every resource versioned, nothing clicked by hand.

What clients say

“Bartek built our entire Google Cloud infrastructure from the ground up. He automated our data collection and reporting, so we could finally stop generating reports by hand. He treats our data like it’s his own.”
AM
Anna Motylewska
CEO of biolers.pl

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Become a better GCP data engineer

Practical tips and hands-on resources to improve your Google Cloud data engineering skills, straight to your inbox.

Bartek Jedrol

Google Cloud data engineer, based in Kraków, Poland.

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