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