25 Gen AI Projects for Data Engineers

🚀 What is this book?

This is not just a book — it's a practical Gen AI playbook designed exclusively for Data Engineers. From building LLM-powered quality checkers to creating SQL bots, this guide teaches you how to combine your data engineering skills with Gen AI tools like OpenAI, LangChain, FAISS, Pinecone, and more.

Whether you’re a beginner exploring LLMs or an experienced data professional looking to future-proof your career — this project-based guide will get you hands-on with the most in-demand AI use cases in the data world.

📦 What’s inside?

✅ 25 Complete Gen AI Projects, each with:

1. Problem Statement
2. Why It Matters (Real-world context)
3. Tech Stack Table
4. Step-by-Step Code with Explanation
5. Tips, Extensions & Sample Output

✅ Bonus Sections:

1. 🔍 Glossary of Top 25 Gen AI Terms
2. 🧾 ATS-friendly Gen AI Resume for Data Engineers
3. 🎯 Prompt Engineering Tips
4. 💵 Cloud Cost-Saving Tips
5. 📊 Diagram Gallery of All Projects

🛠 Who is this for?

1. Data Engineers learning LLMs and AI workflows
2. Gen AI Enthusiasts who love building real-world tools
3. Analysts or Developers transitioning to AI roles
4. Technical Founders & Indie Hackers building AI tools
5. Educators or Mentors who need ready-made projects for teaching

🎁 Format

1. Instant Digital Download (PDF & Markdown versions)
2. Mobile & Desktop friendly
3. Lifetime updates included

💬 What kind of projects?

1. AI-powered Data Quality Checks
2. SQL Generator from English
3. Data Catalog Summarizer
4. KPI Explainer Bot
5. Synthetic Data Generator
6. Anomaly Detector
7. Agent-based Data Lake Explorer
8. ...and 19 more real-world apps.

🔥 Why it stands out?

Unlike generic AI books, this one is:

1. Tailored for Data Engineers
2. 100% project-based
3. Tech-stack agnostic (works across AWS, GCP, Azure)
4. Explains how and why each project matters
5. Helps you build a portfolio + ace interviews

🛒 How to Use It?

1. 📚 Learn → 👨‍💻 Build → 🚀 Deploy → 📁 Reuse
2. Use it as a personal learning tracker or team training manual
3. Turn ideas into side projects or portfolio apps