Architecture stays connected
The engineer defining the system remains responsible for making it work.
Services
Own the production problem from architecture through handoff.
Principal-led data engineering for systems that need to be built, modernized, migrated, or stabilized. The same senior engineer owns the architecture, implementation, production controls, and transfer to your team.
Production change is controlled
Validation, cutover, monitoring, and recovery are part of implementation.
The client owns the result
Code, infrastructure, documentation, and operating knowledge transfer with the system.
Scope follows the outcome
Work is organized around a production result, not seats added to a project.
Core workstreams
Defined around the production outcome.
Each engagement joins design and execution under one technical owner. Tools follow the system requirements, not the other way around.
01
Data platform architecture and implementation
A production platform that can be changed, operated, and extended without depending on its designer.
Explore the workstream →Problems solved
- Architecture has outgrown the original workload
- Critical behavior is fragmented across services and manual processes
- A target architecture exists but no one owns implementation
Revenir owns
Target design, cloud and warehouse boundaries, implementation, infrastructure, delivery controls, documentation, and operational handoff.
- AWS
- Azure
- GCP
- Snowflake
- BigQuery
- Redshift
- Kafka
02
Custom pipelines and integrations
Reliable movement of data with explicit contracts, failure behavior, recovery paths, and ownership.
Explore the workstream →Problems solved
- A generic connector cannot satisfy the production contract
- Legacy ingestion is brittle, opaque, or difficult to backfill
- APIs, databases, files, and events must converge into one controlled path
Revenir owns
Pipeline design and code, deployment, idempotency, quality controls, monitoring, retry and backfill behavior, and runbooks.
- Python
- SQL
- APIs
- S3
- Databases
- Streaming
- Serverless
03
Airflow and production orchestration
Workflows the team can schedule, observe, recover, backfill, deploy, and own with confidence.
Explore the workstream →Problems solved
- Dependencies cross systems and failure recovery is manual
- DAGs exist without a reliable deployment or testing model
- Missed intervals and partial runs require operator-safe backfills
Revenir owns
Airflow architecture, DAG implementation, infrastructure, CI/CD, secrets, retries, backfills, alerts, operator workflows, and documentation.
- Airflow
- MWAA
- Docker
- Kubernetes
- GitHub Actions
- Cloud services
04
Modernization, migration, and reliability
A controlled replacement or stabilized production path backed by evidence instead of assumption.
Explore the workstream →Problems solved
- Legacy SQL, procedures, or pipelines concentrate hidden state and side effects
- Production failures are diagnosed manually and recovered inconsistently
- A migration needs exact reconciliation, cutover, and rollback controls
Revenir owns
Live-system discovery, replacement design, implementation, testing, reconciliation, observability, production transition, and recovery planning.
- dbt
- Snowflake
- Legacy ETL
- Data quality
- Observability
- CI/CD
Where Revenir is most useful
Bring the difficult production boundary.
The strongest fit is a defined system, migration, or reliability problem that needs senior judgment and direct implementation.
01
Replace a brittle production pipeline with a client-owned implementation
02
Design and build a new cloud data platform around a defined business outcome
03
Implement Airflow and production-grade orchestration controls
04
Modernize warehouse transformations, including stored procedures and legacy SQL
05
Establish isolated development, CI/CD, secure authentication, and release controls
06
Reconcile old and new systems before a controlled production cutover
07
Add data quality, observability, alerting, backfills, and recovery procedures
08
Own a difficult data workstream inside a larger consulting or implementation engagement
How to engage
A commercial structure matched to the work.
Defined project
Direct delivery
- Best when
- A production outcome has a clear owner, boundary, or deadline.
- What you get
- Architecture, hands-on implementation, validation, cutover, documentation, and ownership transfer.
Controlled change
Modernization or migration
- Best when
- An existing system must change without disrupting the behavior the business already depends on.
- What you get
- Discovery, staged replacement, reconciliation, transition controls, rollback thinking, and operational handoff.
Partner delivery
Consultancy implementation support
- Best when
- A partner needs principal-level data engineering inside an existing client relationship.
- What you get
- A directly owned workstream, integration with the partner delivery process, clear status, evidence, and low overhead.
Specialist ownership
Senior overflow capacity
- Best when
- The existing team has a difficult production problem but does not need another staffing layer.
- What you get
- Rapid technical context, an explicit responsibility boundary, direct execution, and transfer back to the team.
For delivery partners
Principal-level execution inside your client relationship.
Revenir owns difficult data-engineering workstreams inside an existing delivery process, with direct senior execution, clear evidence, and low organizational overhead. There is no sales-to-junior-team handoff.
Built for consultancies, systems integrators, cloud and data partners, prime contractors, and implementation firms that need production depth without adding another management layer.
Discuss a delivery partnership →Start with the constraint