Data

Data pipelines (ETL / ELT)

Automated jobs that extract data from source systems, load it into the warehouse and transform it on a schedule, with checks that catch bad data before anyone sees it.

How it's used

Every night, jobs pull yesterday's ad spend, orders and email results, load them, and rebuild the reporting tables. A quality check notices a feed arrived with half its rows missing and stops the dashboard refresh before anyone acts on bad numbers.

How I help

I build and run marketing pipelines with Airflow and Python, with data-quality checks, alerting and clear ownership, so reporting is on time and trusted.

Proof200+ marketing pipelines run for a streaming media client

Common toolsAirflow, Python, dbt