Data and Integration Engineering
Data pipelines, system integration, API work, and backend platforms.
For scattered data and systems that do not yet connect.
Starting from
$4,500≈ Rp73,3jt
This is a starting point for the scope most often requested. The final quote follows the scope we agree on together.
USD is the contract currency. The rupiah figure is indicative and follows the rate recorded in the site configuration.
What the work includes
Batch and streaming pipelines with scheduling, retries, and alerting
Integration between systems that were never designed to talk to each other
REST or GraphQL API design and implementation, documented
A warehouse and modelling layer for reporting
Data quality checks that fail loudly rather than quietly
Infrastructure as code, so environments can be rebuilt
From scope to handover.
Connect data from existing systems, with quality checks at the entry and exit points.
Source systems
ERP, CRM, accounting, and vendor tools
Pipelines & integration
Scheduling, retries, and documented APIs
Quality checks
Validation at entry and exit points
Data ready for use
Warehouse, models, backend, and runbook
Data that fails validation stops and triggers alerts. Your team takes ownership of the system with a runbook.
Why this work usually comes first
Most AI projects that stall do so for the same reason: the data sits across several systems, the formats disagree, and no single place can be called the source of truth. This layer is what fixes that.
What we build
- Data pipelines. Pull from source systems, clean, and load into central storage, with scheduling, retries, and alerts on failure.
- System integration. Connecting the ERP, the CRM, the accounting system, and the vendor tools that each hold a slice of the same process.
- APIs. Either exposing an API to a partner, or wrapping a legacy system behind a clean interface so new systems never need to know what is inside.
- Backend platforms. The services, queues, and scheduled jobs underneath your product, with observability from the start.
How we work
Every pipeline we ship carries data quality checks at the entry and exit points. A pipeline that receives broken data stops and alerts, rather than quietly loading that broken data into a report your board reads next week.
All infrastructure is written as code, so staging and production are identical and either can be rebuilt without relying on somebody’s memory.
What is not included
- We do not provide ongoing manual data entry or data cleaning services.
- We do not take long-term administration of your production databases. We set the system up, monitor it, and hand ownership to your team with a runbook.
- Migration from an undocumented legacy system starts with a paid discovery before any estimate exists.
Cost range
From USD 4,500 for one pipeline or one integration running in production, including monitoring and documentation. Multi-source platforms are priced after discovery.
What would you like to improve?
Tell us about the process, the systems you use, and what gets in the way. We can define the scope from there.