Data engineering
Reliable pipelines into a warehouse or lakehouse. Late files, bad keys, and silent failures are treated as defects.
For Companies whose reports disagree and whose analysts maintain the pipelines.
Outcomes
- A platform with owners and environments
- Pipelines that fail loudly
- Freshness the business can trust
What is included
- Source and model design
- Ingestion, batch and streaming
- Warehouse or lakehouse build
- Data quality checks
Platforms: Snowflake, Databricks, BigQuery, dbt, Kafka
Start with this