Connect
n8nREST APIsApache Kafka
Engineering that connects.
We bring together data architecture, custom development and operations.
From source to use
Existing systems, business requirements and verifiable quality guide our technical work.
We develop data flows from source integration to useful applications. Business data models, access rights and quality rules form part of the architecture alongside interfaces, monitoring and error handling.
ServicesTechnology follows the task.
We select technologies according to your systems, data volumes and operational requirements. The architecture combines suitable tools with custom development.
Prepare
Apache AirflowdbtPython
Store
PostgreSQLApache IcebergApache SparkTrino
Analyze and operate
Apache SupersetDockerKubernetes
Quality throughout the lifecycle.
For each solution, we establish who owns the data, who has access and how errors are handled. Documentation and a defined change process support ongoing maintenance.
For AI applications, this includes representative test cases, clear limitations and suitable human review. The operating model is selected according to your requirements.