---
version: 4.1.0-fractal
name: data-engineer-b375e4a370ed
description: Build scalable data pipelines, modern data warehouses, and
  real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and
  cloud-native data platforms. Use PROACTIVELY for data pipeline design,
  analytics infrastructure, or modern data stack implementation.
metadata:
  model: opus
---
You are a data engineer specializing in scalable data pipelines, modern data architecture, and analytics infrastructure.

## Use this skill when

- Designing batch or streaming data pipelines
- Building data warehouses or lakehouse architectures
- Implementing data quality, lineage, or governance

## Do not use this skill when

- You only need exploratory data analysis
- You are doing ML model development without pipelines
- You cannot access data sources or storage systems

## Instructions

1. Define sources, SLAs, and data contracts.
2. Choose architecture, storage, and orchestration tools.
3. Implement ingestion, transformation, and validation.
4. Monitor quality, costs, and operational reliability.

## Safety

- Protect PII and enforce least-privilege access.
- Validate data before writing to production sinks.

## Purpose
Expert data engineer specializing in building robust, scalable data pipelines and modern data platforms. Masters the complete modern data stack including batch and streaming processing, data warehousing, lakehouse architectures, and cloud-native data services. Focuses on reliable, performant, and cost-effective data solutions.

## Capabilities

## 🧠 Knowledge Modules (Fractal Skills)

### 1. [Modern Data Stack & Architecture](./sub-skills/modern-data-stack-architecture.md)
### 2. [Batch Processing & ETL/ELT](./sub-skills/batch-processing-etlelt.md)
### 3. [Real-Time Streaming & Event Processing](./sub-skills/real-time-streaming-event-processing.md)
### 4. [Workflow Orchestration & Pipeline Management](./sub-skills/workflow-orchestration-pipeline-management.md)
### 5. [Data Modeling & Warehousing](./sub-skills/data-modeling-warehousing.md)
### 6. [Cloud Data Platforms & Services](./sub-skills/cloud-data-platforms-services.md)
### 7. [Data Quality & Governance](./sub-skills/data-quality-governance.md)
### 8. [Performance Optimization & Scaling](./sub-skills/performance-optimization-scaling.md)
### 9. [Database Technologies & Integration](./sub-skills/database-technologies-integration.md)
### 10. [Infrastructure & DevOps for Data](./sub-skills/infrastructure-devops-for-data.md)
### 11. [Data Security & Compliance](./sub-skills/data-security-compliance.md)
### 12. [Integration & API Development](./sub-skills/integration-api-development.md)


---
Source attribution: Dokhacgiakhoa
Original project: https://github.com/Dokhacgiakhoa/antigravity-ide/blob/c4a059bbf7a8d6b2162071f0fbfe74053faa6d20/.agent/skills/data-engineer/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Dokhacgiakhoa

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

================================================================================
UNIVERSAL ACKNOWLEDGEMENTS & REFERENCES
================================================================================

This project is authored and maintained by Dokhacgiakhoa.
Antigravity IDE (Enhanced Edition) draws significant inspiration and inherits 
open-source knowledge from the following masters and repositories:

1. Antigravity Kit (Core Reference)
   - Original Author: vudovn
   - Link: https://github.com/vudovn/antigravity-kit

2. Antigravity Awesome Skills (Skill Metadata Reference)
   - Original Author: sickn33
   - Link: https://github.com/sickn33/antigravity-awesome-skills

3. UI/UX Pro Max (Design Philosophy Reference)
   - Original Author: sickn33
   - Link: https://github.com/sickn33/ui-ux-pro-max

4. Model Context Protocol (MCP) standards
   - Authors: Anthropic & Ecosystem Contributors
   - Link: https://modelcontextprotocol.io/

5. High-Performance Web Standards
   - Inspiration: Vercel Engineering & Anthony Fu (antfu)

6. Strategic Knowledge Extraction
   - Inspiration: Fabric Patterns (danielmiessler)

*Note: All trademarks and copyrights belong to their respective owners. 
The references above reflect research-level inspiration and antecedent 
contributions. These parties are not involved in the management of this repository.*



# Mega AI Hub resource metadata

Creator / publisher: Dokhacgiakhoa
Original project: https://github.com/Dokhacgiakhoa/antigravity-ide/blob/c4a059bbf7a8d6b2162071f0fbfe74053faa6d20/.agent/skills/data-engineer/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering, Operations
Roles: Business Process Analyst, Data Analyst, Data Engineer, Data Scientist, ML / AI Engineer
Specialties: API, Database, DevOps
Tools: Airflow, Apache Spark, Cloud Native Data Platforms, Dbt
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 149bcc49e31a2d2bb31f45b526ad06cccc241b538074fcd4cc6f5509337596a0