I turn data such as machine sensor data into things people actually decide with, building pipelines allowing business users to turn signal into meaning : from the duct to the dashboard.
Position
Digital Data Specialist at Plumettaz SA
Plumettaz is a leader manufacturer of cable-laying and cable-blowing machines.
My work splits between BI, data engineering and analytics.
Since
2022 part-time, full-time from 2026
Education
BSc Computer Science, data engineering orientation, HEIG-VD
Bachelor thesis
Valorising IoT data from cable-laying machines
Machines in the field produce a continuous stream of sensor readings whose full potential was left untapped. I interviewed senior management to work out which questions it should actually answer, then built the pipeline to help answer these questions.
01 / AcquirePull raw data from operational databasesPython · dlt
02 / PersistEfficient storage of data including time-series dataPostgreSQL · TimescaleDB
03 / ModelTested and versioned transforms into a usable schemadbt · SQL
04 / InferPattern detection across operating runsscikit-learn
05 / ServeDashboards management decides withQlik Sense