Data Pipelines & Automation
Stop patching together manual workflows. We design and build data pipelines that handle ingestion, transformation, enrichment, and delivery across your stack. From scheduled ETL jobs that sync databases to event-driven pipelines that react in real time — you tell us the data flow, we make it run on autopilot.
99,94 % uptime
Built for production.
Spreadsheets and manual exports do not scale — they hide errors until month-end close or until a dashboard shows stale numbers. We replace those loops with pipelines that ingest, validate, transform, and deliver data on a clock your business trusts.
Our automation work spans classic ETL, event-driven syncs, and orchestration across SaaS tools your team already uses. The goal is not more Airflow diagrams; it is fewer human touchpoints between source truth and the system that acts on it.
We design for failure: idempotent jobs, dead-letter queues, replay tools, and clear ownership when something upstream changes. You keep velocity without betting the company on a single brittle cron job.
Use cases, in production.
We build ETL pipelines and automation systems that move, transform, and load data exactly where it needs to go — on schedule or in real time.
ETL Pipeline Development
Extract data from APIs, databases, or scrapers. Transform and clean it. Load it into your data warehouse, BI tool, or operational database. Scheduled or triggered.
Data Warehouse & BI Integration
Connect your operational data sources to BigQuery, Redshift, Snowflake, or Metabase. Normalized models, incremental loads, and dashboards that always reflect fresh data.
Automated Invoice & Document Processing
Extract data from invoices, contracts, or forms. Validate it and push straight into your accounting or ERP system without anyone touching a spreadsheet.
Report & Alert Automation
Auto-generate daily, weekly, or monthly reports from your databases and deliver them to stakeholders. Set up alerts when metrics cross thresholds.
Multi-tenant SaaS data sync
Sync customer workspaces from your product DB into analytics warehouses with row-level security, incremental loads, and backfill tools when schemas evolve.
Operational webhook mesh
Connect CRM, billing, support, and internal tools via reliable webhooks — signature verification, retries, and audit logs included.
From discovery to handoff.
A clear path with milestones you can plan around — no black box, no surprise scope at the end.
Map the flow
We diagram sources, transformations, destinations, and SLAs with your stakeholders. Edge cases surface before build.
Prototype path
One critical path end-to-end — ingest, transform, load — with real data volumes so performance surprises show up early.
Productionize
Orchestration, secrets, environments, and monitoring. We align deploy windows with your ops calendar.
Hand off & tune
Documentation, on-call playbooks, and cost/performance tuning as traffic grows.
What we ship.
What you receive.
Tangible outputs at the end of every engagement — code, docs, and systems your team can operate.
- Pipeline code in version control (your org)
- Infrastructure-as-code for schedulers & queues
- Data quality checks & anomaly alerts
- Runbooks for failure recovery
- Environment separation (dev/staging/prod)
- Stakeholder-facing status or SLA report
Common questions.
Airflow, Dagster, or something lighter?
We pick orchestration based on team skill and complexity. Simple schedules may only need managed cron plus queues; multi-team data platforms benefit from full orchestrators.
Can you work inside our cloud account?
Yes. We routinely deploy to AWS, GCP, or Azure in customer-owned accounts with least-privilege IAM.
How fast can a first pipeline go live?
A focused pilot often ships in 2–4 weeks depending on source access, volume, and compliance review.
Explore the stack.
Prêt à commencer ?
Parlez-nous de votre projet et nous trouverons la meilleure façon de vous aider.