The ASTRI Mini-Array is an international project led by INAF and devoted to imaging atmospheric Cherenkov light for very high-energy $\gamma$-ray astronomy.
The project is deploying an array of nine imaging atmospheric Cherenkov telescopes of 4-m class at the Observatorio del Teide (Tenerife, Canary Islands).
The Cherenkov data pipeline is in charge of reducing and analysing the scientific data recorded during the ASTRI Mini-Array observations by means of the A-SciSoft software package.
The pipeline will be integrated in the data processing system cluster, which will leverage a workload manager for automatic data processing and archival at the offsite ASTRI data center.
In this contribution we describe how we designed the multiple types of pipelines capable of analyzing both Monte Carlo and real data of the ASTRI Mini-Array.