Data Engineering
Data Engineering
Data engineering is building the infrastructure that moves and transforms data. Pipelines that pull data from sources, transform it into something useful, and serve it to analysts, data scientists, and applications. The work spans ingestion, transformation, quality, orchestration, governance, and observability.
1
Building and Verifying a CSV Pipeline
6 units
2
API Extraction and Schema Design
6 units
3
dbt Framework: From Scripts to Models
6 units
4
Multi-Source Extraction and Layer Architecture
6 units
5
Complex Transformations and Quality Monitoring
7 units
6
Schema Contracts and Configuration Tracking
8 units
7
Project Memory and Incremental Extraction
7 units
8
BigQuery Cost Architecture and First MCP
8 units
9
Data Contracts and CI/CD Enforcement
7 units
10
Streaming Sensor Data with Kafka
7 units