Build a data pipeline — move data where it needs to go, reliably.
Data pipelines sync, transform, and route data between systems. ETL from source databases to analytics warehouse. API-to-database ingestion. Webhook processing. A custom data pipeline handles your specific data flows with reliability and observability.
Operations leader or data team that needs data moved reliably between systems — APIs, databases, analytics warehouses — with monitoring and error handling
Zapier and Make handle simple point-to-point automation. They break down for:
- High volume data movement (1M+ records/day)
- Complex transformation logic that requires code
- Error handling with retry logic and dead letter queues
- Data quality validation before loading
- Multi-step pipelines with dependencies
Common data pipeline requirements:
- CRM → Data warehouse: Pull Salesforce data nightly into Postgres for analysis
- API ingestion: Pull data from partner APIs and store in your database
- Event processing: Process webhook events from payment processors and order systems
- Cross-system sync: Keep two databases in sync with conflict resolution
- Reporting pipelines: Aggregate and transform raw data into reporting tables
Custom data pipeline deployed — scheduled or real-time data sync between defined sources and destinations, with monitoring and error alerting
Source connectors
API and database readers with authentication
Transformation layer
data mapping, cleaning, validation
Destination writers
database, warehouse, or API outputs
Scheduler
cron-based or event-triggered execution
Error handling
retry logic, dead letter queue, alerting
Monitoring dashboard
pipeline run history, success/failure, data volume
One honest number to start.
Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.
Custom data pipeline deployed — scheduled or real-time data sync between defined sources and destinations, with monitoring and error alerting
Three steps, every time.
The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.
Brief & discovery.
We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.
Build & ship.
Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.
Warranty & retainer.
30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.
Why Fixed-Price Matters Here
Data pipelines have defined sources, transformations, and destinations. Fixed-price from the spec.
Questions, answered.
For simple pipelines: cron jobs on a server or Vercel cron jobs. For complex multi-step pipelines with dependencies: Inngest or Trigger.dev for durable workflow execution with retry logic.
Both. Batch via scheduled jobs. Real-time via webhook processing or database change data capture (CDC). The right choice depends on latency requirements.
Tell Ryel about your project.
Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.