~/services/data-pipelines
Data pipelines and matching
Product records from marketplaces, suppliers and spreadsheets rarely agree on names, codes or images. The studio builds the pipeline that turns them into one catalogue the business can rely on.
01 · take inEvery source mapped first: its API or export, its structure and its quirks.
02 · buildExtraction, normalisation, deduplication and matching, with uncertain matches sent to a review screen instead of guessed.
03 · hand overScheduled pipelines, the canonical data model and a runbook the team can operate.
sample · data flow, procurement processenlarge ↗