
Data Strategy
How I Built a Data Platform in One Week with dbt and Snowflake
The full build of a working data platform in one week: Postgres, Airbyte, Snowflake, dbt and Airflow, with the code, 2026 updates and how it makes a team AI-ready.
Practical notes on data foundations, pipelines, dashboards and getting AI-ready.

Data Strategy
The full build of a working data platform in one week: Postgres, Airbyte, Snowflake, dbt and Airflow, with the code, 2026 updates and how it makes a team AI-ready.

Data Engineering
A hands-on AWS lakehouse build with Delta Lake, Glue and Athena: bronze, silver and gold layers, real code, and what I would change in 2026.

Data Engineering
A production-ready Airflow DAG to schedule, parameterize and monitor AWS Glue jobs, updated for Airflow 3, MWAA and Glue 5.x, with full code.

Data Engineering
Stop pasting code into the Lambda console. Deploy Python data jobs to AWS Lambda as container images with GitHub Actions, OIDC and two AWS CLI commands.

Data Engineering
Why every data project needs CI/CD, what your pipeline should check, and a Terraform plus GitHub Actions template to deploy on AWS.

Tools & Stack
Fivetran and Airbyte can load your Stripe data before lunch. Here is where no-code ELT tools shine, where they hurt, and the hybrid setup we use for clients.

Data Strategy
The four-layer data platform we recommend to small and mid-size businesses: managed ingestion, one warehouse, dbt and a BI tool your team will actually open.

Data Strategy
The five layers of a modern data infrastructure, the tools I pick at each one, and where growing teams usually overbuild. Includes code and a checklist.

Data Strategy
Three teams, three revenue numbers. Here is why centralizing your data into one warehouse matters more than ever in the AI era, and a 6-step plan to get there.