Analytics
A 50-million-row reporting pipeline from Drive to BigQuery
50M rows
The problem
A Looker Studio reporting setup had outgrown its spreadsheet source. At roughly 50 million rows the data could not live in Sheets at all, and the reports built on it were slow or simply failing to load.
What we built
We built an automated pipeline that takes files landing in Google Drive, loads them into BigQuery on a schedule, and exposes clean, typed tables for Looker Studio to query directly.
Sheets stayed in the architecture where it belonged — for the small reference and mapping tables people need to edit by hand — rather than being asked to carry volume it was never designed for.
Where it landed
Reports query BigQuery instead of a spreadsheet, load in seconds, and the loading step runs without anyone opening a file.
Services involved
Looker Studio
Looker Studio is only as good as the data model underneath it, which is usually a spreadsheet nobody designed.
From $4505–12 working days
API & live data
IMPORTDATA and IMPORTXML are fine until the day they are not, which is usually the day the report matters.
From $4005–12 working days
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