Ingestion pipelines powering real-time executive analytics
High-volume data ingestion, modelled into analysis-ready datasets behind live executive dashboards.
Capability example. This describes the kind of work we are equipped to do. It is not a specific client project.
- Services involved
- AI development
The problem
Reporting is assembled by hand from exports, so numbers disagree between teams and arrive too late to act on.
Where it applies
Data platforms & decision intelligence
How we approach it
- 01
Design ingestion for high event volume with schema and quality assertions
- 02
Model metrics once, in one place, so definitions stop diverging
- 03
Orchestrate transformations on a schedule with failure alerting
- 04
Serve dashboards from analysis-ready tables instead of raw events
What this is designed to change
- High-volume ingestion with data quality checks
- Standardised metric definitions across teams
- Real-time executive dashboards replacing manual reporting
Typical stack
- Airflow
- dbt
- Snowflake
- PostgreSQL
- Python
Next
All work
Enterprise integration
CRM, ERP and payment systems joined into one transaction flow
Disparate CRM, ERP, payment gateway, mapping and legacy backends connected to automate multi-step business transactions.
See how we approach it