Data Engine
Repository: landerox/cloud-landerox-data
This project represents the application layer of my data platform. It focuses on the efficient movement and transformation of data, enforcing quality and consistency at scale.
Key Goals
- Idempotency: Pipelines are designed to handle retries gracefully without duplicating data.
- Schema Enforcement: Strict validation ensures that only clean, compliant data enters the warehouse.
- Cost Optimization: Leverages serverless patterns to scale down to zero when idle.
Tech Stack
- Language: Python 3.12+ (managed with
uv) - Orchestration: Cloud Workflows / Cloud Composer
- Processing: Dataflow (Apache Beam), BigQuery
- Quality:
pytest,ruff
Core Modules
- Ingestion Engine: Handles high-velocity stochastic data streams.
- Transformation Layer: Implements business logic to curate raw data into trusted insights.
- Observation: Integrated logging and monitoring to track data lineage and pipeline health.