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Data Engineering

Pipelines, platforms, and architecture. ETL, streaming, lakehouses, and the infrastructure that makes data usable.

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Building Data Pipelines That Don't Break at 3 AM

The dirty secret of data engineering is that most pipelines are fragile. They work fine in development, pass QA, and then fail silently in production at the worst possible moment.

Mar 25, 2026·11 min read

Data Engineering

dbt for Analytics Engineers: A Practical Introduction

dbt brings software engineering best practices to the analytics workflow: version control, testing, documentation, and modular SQL that actually scales.

Mar 5, 2026·8 min read

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