principal-data-engineer
CommunityArchitect scalable, reliable data platforms.
Authorrory-data
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Provides expert guidance to design, review, and govern scalable, reliable data platforms, elevating data programs from initial viability to long-term value and governance.
Core Features & Use Cases
- Data Platform Architecture: emphasizes the -ilities (scalability, reliability, maintainability, observability) and patterns for architecture reviews, system decoupling, and cost-aware design.
- Pipeline Engineering Standards: sets Airflow and Python code standards, testing regimes, anti-patterns, and code quality guidance.
- Data Quality & Observability: promotes data contracts, open lineage, data quality checks, and SLA monitoring.
- Composable Data Stack: guidance on dlt, Polars, DuckDB, Iceberg, dbt, and Open Data Contract Standards for flexible pipelines.
- Usage Scenarios: architectural reviews, complex debugging, template creation, and standard-setting.
Quick Start
Summarize a scalable data-platform architecture with Iceberg and Airflow, including data contracts and quality gates.
Dependency Matrix
Required Modules
loguru
Components
scriptsreferences
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Please help me install this Skill: Name: principal-data-engineer Download link: https://github.com/rory-data/copilot/archive/main.zip#principal-data-engineer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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