Data & Platform Engineering
Data-intensive and platform systems informed by real ingestion, processing, and storage products.
We offer consulting only in areas where we actively build and operate real products.
Platforms and Pipelines That Scale
We build data and platform systems that handle real-world scale because we operate them ourselves.
Data Pipelines
Real-time and batch processing pipelines that handle billions of events. ETL, streaming, and data orchestration at enterprise scale.
Internal Platforms
Developer platforms that accelerate your teams. Self-service infrastructure, golden paths, and platform abstractions.
Control Planes & System Foundations
The invisible infrastructure that powers your products. APIs, service meshes, and the foundations everything else builds on.
Data Pipeline
Real-time Processing
Built From Product Experience
Our platform and data engineering practice exists because we build and operate Stream, our production data pipeline platform. That product experience informs every consulting engagement.
- Apache Kafka, Flink, and Spark implementations
- Real-time streaming and event-driven architectures
- Data warehouse and lakehouse design
- Internal developer platform (IDP) creation
- GitOps and infrastructure as code
- CI/CD pipeline optimization
Platform Engineering at Scale
Ready to Build Your Platform?
Let's design data pipelines and internal platforms that accelerate your engineering teams.