INTELLIQUEST
Data Engineering
AI is only as good as the data beneath it. We build the pipelines, models and validation that make your data trustworthy, and keep them monitored once they are live.
What the work covers
What you get
- Ingestion and transformation pipelines
- Warehouse and lakehouse modelling
- Data quality and validation checks
- Analytics and reporting layers
- Pipelines as version-controlled code, not console configuration
- Validation rules that fail loudly rather than degrade quietly
- Lineage from source system through to the reporting layer
- Monitoring and alerting handed over with runbooks