Boring Data

Hey It's Julien👏

I'm a data engineer specialized in building data platforms.

For the last 10 years implementing data stacks, I noticed I was repeatedly performing the same tasks: setting up dbt, configuring Snowflake, and, more recently, migrating to Iceberg data lakes.

For each project we spent precious time reinventing the wheel, building the stack from scratch.

That's why I built Boring Data: to help data teams reduce migration risks and easily adopt the latest data infrastructure innovation.

Don't waste time reinventing the wheel..

PS: I share insights with over 5000 readers every week on Substack and LinkedIn.

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What do you get with Boring Data?

1 - Templates

Each stack is composed of:

• a data stack built in Terraform, ready to be deployed on Github Action

• an example end-to-end pipeline that you can easily duplicate

• a doc explaining in detail the template structure and how to add new pipelines

Template: AWS+Iceberg

Template: AWS+Snowflake

2- boringdata CLI

This CLI helps you to build custom pipelines faster by generating boilerplate code in a template.

With it, you can integrate in one command:

• data ingestion tools

• data transformation frameworks

• orchestrators

• AWS resources

CLI

How to get started?

Choose a template of your choice and follow the documentation provided.

You will get details on how the template is structured, how to deploy it, and how to add a new pipeline.

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Support:

Reach out to me on LinkedIn or [email protected].