Build a Real-World End-to-End Data Engineering Project + Job Preparation

A 6-hour, one-day hands-on masterclass by GIofAI

If you’re serious about becoming a Data Engineer, the fastest way to stand out is simple:

• Build a real project
• Ship it on GitHub
• Learn how to explain it confidently in interviews

In this masterclass, you’ll build a complete, end-to-end data engineering project in a structured, real-world way—then we’ll show you how to present it in your resume, LinkedIn, and interviews.

What We Will Build (Project Outcome)

You will build a production-style mini data platform:

Data Source → Ingestion → Storage → Transformations → Orchestration → Analytics Output

Example project theme (we’ll use a real dataset):

• E-commerce events / sales analytics OR
• Product usage / customer analytics

By the end, you’ll have:

• A working pipeline + codebase
• A clean GitHub repository structure
• A portfolio-ready explanation + architecture summary

What You’ll Learn (Skills Covered)

Technical Skills

• How real data pipelines are designed (layers: raw → staging → curated)
• Ingesting data using Python (API / files)
• Storing data in a database/warehouse layer (beginner-friendly)
• Transformations using SQL (and optional dbt-style approach)
• Orchestration basics (scheduling workflows like a Data Engineer)
• Practical checks: logging, failures, basic data quality checks

Job Preparation Skills

• How to write strong resume bullets for your project
• How to explain your pipeline in interviews using a simple framework
• Top Data Engineer interview areas + what to focus on next

Who This Masterclass Is For

• Beginners who want a clear, practical start in Data Engineering
• Data Analysts looking to transition into Data Engineering
• Software/IT professionals switching roles
• Anyone who attended the webinar “How to Become a Data Engineer” and wants the next step

Prerequisites (Keep It Beginner-Friendly)

You should have:

• Basic familiarity with Python or SQL (even beginner level is okay)
• A laptop with internet access
• Willingness to code along

No advanced experience required.

Tools Used (Simple + Practical)

We’ll use a beginner-friendly stack that you can reuse in your own projects:

• Python
• SQL
• Pipeline orchestration basics (guided)
• GitHub project structure
  (We’ll share setup instructions before the session.)

What You’ll Take Home

• A complete end-to-end project (code + structure)
• GitHub-ready template (folders, naming, README checklist)
• Resume + LinkedIn templates for project storytelling
• Interview preparation checklist + practice roadmap
• Certificate of participation (if you provide certificates—keep/remove based on your process)