Pipelines break silently and nobody finds out until a stakeholder asks why yesterday's numbers are missing.
Service
Data pipelines built for reliability at scale.
We build and operate the ETL/ELT pipelines that move data between your systems, with monitoring and alerting so a broken pipeline doesn't turn into a broken dashboard three days later.
Pipeline flowActive
- Source & destination mappingDefine what moves where
- 02Pipeline designOrchestration, transforms, scheduling
- 03Build & testValidate against real data volume
- 04Monitoring & alerting setupCatch failures before users do
- 05Handoff or ongoing operationYou own it or we run it
Why teams come to us
What this service helps you solve
Data moves between systems through a patchwork of manual scripts nobody fully understands anymore.
Pipeline runtimes are getting longer as data volume grows, and jobs are starting to miss their windows.
You need reliable ingestion from a new source added to your roadmap.
Deliverables
What’s included
Source and destination mappingPipeline architecture and orchestration designETL/ELT job developmentData validation and error handlingMonitoring and failure alertingScheduling and dependency managementPipeline documentationStatement of work before billing
Process
How the service works
- 01
Map data sources, destinations, and transformation needs
- 02
Design orchestration, scheduling, and error handling
- 03
Build and test pipelines against real data volume
- 04
Set up monitoring and failure alerting
- 05
Hand off documentation or continue operating the pipelines
Roles
Roles that may support this service
Data EngineerPipeline EngineerAnalytics EngineerDevOps Engineer
Final roles are recommended after discovery.Discovery before SOW
Discovery comes before every reliable statement of work.
Before we recommend roles, timelines, or pricing, we need to understand your goals, technology stack, product situation, scope, risks, and constraints. Discovery helps us align expectations and create a realistic statement of work.
What discovery documents
- Business goals
- Product goals
- Technology stack
- Current situation
- Required roles
- Timeline expectations
- Budget expectations
- Risks and unknowns
- Success criteria
FAQ
Questions about this service
Often, yes. Discovery includes auditing existing pipelines to find where they're fragile, and we usually recommend targeted fixes and monitoring before a full rebuild.
We work with Airflow, dbt, Dagster, and cloud-native schedulers, and select based on what fits your existing stack rather than pushing a single default tool.
We build alerting and monitoring into every pipeline by default. You can choose an ongoing team to keep operating them or a fixed-scope engagement with documentation for your team to own.