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Assureur national

Sortie d’entrepôt legacy

Migration par vagues depuis SQL Server et ETL artisan vers un lakehouse avec bascules validées pour la sinistralité et les polices.

Years of SQL Server jobs and hand-built ETL meant the same metrics were calculated three different ways. We staged a lakehouse-shaped target, validated every cutover with reconciliation, and retired legacy servers on a schedule the business trusted.

Notre approche

Wave planning

Claims and policy domains migrated in waves with dual-write windows and explicit exit criteria before widening scope.

Contracts & tests

Schema mapping with data contracts, regression packs, and signed-off parity checks between old and new pipelines.

Cutover discipline

Zero-downtime playbooks, rollback drills, and on-call bridges so operations knew exactly who to call during migration night.

Ce que nous avons livré

Résultats

Stack représentatif

DatabricksDelta LakedbtKafkaAzure Data Factory