data-engineer

Design and implement data pipelines and reporting for the VCT Platform.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/vctplatform/vct-erp --skill data-engineer-vctplatform
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-engineer
Source: https://github.com/vctplatform/vct-erp/tree/main/vct-erp/.agents/skills/data-engineer
Command: npx skills add https://github.com/vctplatform/vct-erp --skill data-engineer-vctplatform

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of transforming raw data into actionable business intelligence, enabling better decision-making through comprehensive reporting, analytics, and data export capabilities.

Core Features & Use Cases

  • Data Pipeline Design: Implements robust ETL patterns for data transformation.
  • Reporting & Analytics: Generates detailed reports, dashboards, and visualizations.
  • Data Export: Provides data in various formats including PDF, Excel, and CSV.
  • Use Case: A federation administrator needs a monthly report on athlete performance across different categories and clubs. This Skill can generate a ranked list of athletes, export it to Excel, and provide aggregated statistics for a dashboard.

Quick Start

Use the data-engineer skill to generate an athlete ranking report in PDF format for the current quarter.

Frequently Asked Questions about data-engineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build ETL pipelines for reporting and analytics using PostgreSQL and Go?

ETL pipelines for reporting and analytics are designed by transforming raw PostgreSQL database records into actionable business intelligence using Go and various export and visualization tools.

Can I export data from PostgreSQL to PDF, Excel, and CSV for dashboard reporting?

Data export to PDF, Excel, and CSV formats is supported for dashboard reporting, enabling the transformation of raw database records into accessible files for analytics.

What is the best way to generate ranked athlete performance reports for a sports federation?

Generating ranked athlete performance reports involves querying raw database records to produce aggregated statistics, which can be exported to Excel or visualized on an analytics dashboard.

Do I need raw database records to generate analytics dashboards and business intelligence?

Raw database records are required to generate analytics dashboards and business intelligence, serving as the foundational input for the ETL data transformation process.

How do I transform raw database records into actionable business intelligence?

Transforming raw database records into actionable business intelligence is achieved by implementing robust ETL patterns and analytical queries to generate detailed reports and visualizations.

Does this data engineering approach work for generating monthly reports across different clubs and categories?

This data engineering approach works for generating monthly reports across different clubs and categories by satisfying requirements for analytical queries and report generation.