04 / Data Engineering & Analytics
Data pipelines, analytics infrastructure, and business intelligence that turn scattered data into decisions.
Where it helps
The scope
Monitored ingestion and transformation from databases, APIs, files, and events.
Shared, documented definitions for your core business metrics.
Reporting designed around the decisions your teams need to make.
Warehouses and lakehouses with access, performance, and cost controls.
Automated checks, data lineage, and clear access rules.
Retrieval datasets, features, and evaluation data ready for AI systems.
How we work
Agree on entities, metrics, and ownership before building pipelines.
Run continuous checks and surface problems through monitoring.
Create reusable foundations for reporting, automation, and AI.
Related work
Explore the products and the decisions behind them.
A conversation with Kōt
Tell us what needs to change.