Platform architecture
Target-state design grounded in current workloads, constraints, ownership, and the smallest valuable change boundary.
Custom data platforms and architecture
Revenir designs, builds, and stabilizes client-owned production data platforms across cloud infrastructure, warehouses, pipelines, orchestration, streaming, CI/CD, data quality, and observability.
The engineering problem
Data platforms accumulate pressure at the seams: fragile pipelines, manual deployment, shared environments, opaque transformations, missed schedules, weak reconciliation, and knowledge concentrated in a few people.
Revenir identifies the constraint that matters, preserves sound investments, and owns a defined implementation boundary. Architecture and hands-on delivery stay connected so the resulting system works in production and remains operable after handoff.
Capabilities
Target-state design grounded in current workloads, constraints, ownership, and the smallest valuable change boundary.
Batch, streaming, API, database, and cloud-storage data flows built for observable production operation.
Snowflake, dbt, BigQuery, Redshift, and SQL workflows with explicit lineage, testing, and release controls.
Airflow and warehouse-native workflow design, scheduling, dependencies, retries, backfills, and failure handling.
CI/CD, environment isolation, data quality, reconciliation, monitoring, runbooks, and recovery.
Incremental cutover, documentation, onboarding, and source-controlled infrastructure that the team owns.
Delivery model
Inspect the system and define the production outcome that justifies change.
Choose what to retain, what to modernize, and how the transition will be validated.
Deliver the code, infrastructure, controls, and operational paths.
Leave documentation, evidence, and a team prepared to operate and extend it.
What the engagement creates
Start with the production constraint
We will define the real engineering boundary and determine whether Revenir is the right delivery fit.
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