Here are core ideas every data engineer should master:
1. Ingestion
Batch, streaming, CDC, APIs, and file-based ingestion patterns.
2. Storage
Lakehouse architectures, warehouse modeling, and ACID principles.
3. Transformation
SQL, dbt, PySpark, pipelines, orchestration, tests.
4. Distribution
Dashboards, APIs, microservices, event streams.
I’ll expand on each of these topics in future posts.