staff-data-engineer
CommunityDesign and manage robust data pipelines for financial data.
Data & Analytics#financial data#orchestration#etl#airflow#data pipelines#schema evolution#medallion architecture
AuthorWayneBanksy
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides guidance on building reliable, scalable, and compliant data pipelines for finance and data infrastructure, ensuring smooth data movement and processing workflows.
Core Features & Use Cases
- Pipeline Architecture: Guides on designing layered medallion workflows from Bronze to Gold.
- Orchestration Best Practices: Implements Airflow DAGs with proper dependencies, retries, and observability.
- Use Case: Automate ingestion of trading data, validate schema, and orchestrate updates for reporting dashboards.
Quick Start
Describe a data pipeline task involving ingestion and orchestration, then the AI will help generate a suitable DAG and processing code.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 Claude Code Installation
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Please help me install this Skill: Name: staff-data-engineer Download link: https://github.com/WayneBanksy/wayneys_claude/archive/main.zip#staff-data-engineer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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