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Senior Data Engineer at Scibids in Paris building ETL pipelines to expose partner data, reverse ETL to upload Scibids models, and APIs/libraries to improve inter-team communication. Core stack is Python, SQL, and Google Cloud (BigQuery) handling high-volume datasets.
Builds and maintains ETL and reverse-ETL pipelines that ingest large partner ad datasets (CSV/Avro/Parquet with millions of rows) and upload Scibids' AI-generated models back to partners, plus APIs and libraries for inter-team communication. Works primarily in Python and SQL on Google Cloud (Prefect, BigQuery, Cloud SQL, Datastore, Cloud Run).
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