What is airflow_dags?

This repository, called airflow_dags, is a collection of data workflow scripts used by the MAPS.ME team. It contains the instructions for automating routine data tasks, such as moving information between systems, processing it on a schedule, and keeping map-related data up to date without someone having to manually push buttons. The project is built on Apache Airflow, a tool that lets you define data pipelines as code. Each file in the repo represents a "DAG" (Directed Acyclic Graph), which is essentially a recipe of steps that run in a specific order. Airflow reads these recipes and executes them on a schedule, handling retries and alerting if something goes wrong. The repo itself doesn't run anything on its own, it just holds the definition files that an Airflow deployment would load and execute. This would be useful for data engineers or backend teams at a mapping or navigation company who need to keep data pipelines running reliably. For example, if MAPS.ME needs to nightly process user route data, sync map updates from one database to another, or generate reports, those tasks would live here as scheduled workflows. The README doesn't go into detail about specific pipelines, setup instructions, or how to deploy these workflows. It's essentially just the raw collection of workflow definitions with no additional documentation, so you'd need familiarity with Airflow and the MAPS.ME data infrastructure to make sense of what each individual pipeline does.