---
title: "agentic-bundle-aas-data-engineering-platform"
description: "Portable skills-only \"AAS Data Engineering Platform\" plugin from Agentic Awesome Skills."
canonical: https://agentpluginsdirectory.com/plugins/agentic-bundle-aas-data-engineering-platform--ibrdot
last-updated: 2026-10-24
---

# agentic-bundle-aas-data-engineering-platform
Portable skills-only "AAS Data Engineering Platform" plugin from Agentic Awesome Skills.
- Slug: agentic-bundle-aas-data-engineering-platform--ibrdot
- Publisher: ibrdot and contributors
- Repository: https://github.com/ibrdot/swe-re-expert
- Manifest: plugins/agentic-bundle-aas-data-engineering-platform/plugin.json
- Version: 19.11.0
- License: MIT
- Category (editorial): other
- Skills: 11 (airflow-dag-patterns, data-engineer, data-quality-frameworks, database-architect, dbt-transformation-patterns, embedding-strategies, postgres-best-practices, rag-engineer, sql-pro, vector-database-engineer, warehouse)
- MCP servers: 0
- Stars: 4
- Repository created: 2026-08-24
- Repository last pushed: 2026-10-19
- Publisher type: User
- Listing: https://agentpluginsdirectory.com/plugins/agentic-bundle-aas-data-engineering-platform--ibrdot
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

## Skills

- airflow-dag-patterns: Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
- data-engineer: Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
- data-quality-frameworks: Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
- database-architect: Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.
- dbt-transformation-patterns: Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
- embedding-strategies: Guide to selecting and optimizing embedding models for vector search applications.
- postgres-best-practices: Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
- rag-engineer: Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications.
- sql-pro: Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.
- vector-database-engineer: Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar
- warehouse: Plan and review read-only data warehouse analysis with explicit scope, privacy, provenance, and validation checks.

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.