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🔺From SQL to Data Engineering: What It Actually Takes (Live Session)

Thinking about transitioning into Data Engineering… but not sure where to start?

Most people:

Learn tools
Watch tutorials
Build small projects

But still struggle to answer:

👉 “Can you design and build a real data pipeline?”

📍In This Live Session, I’ll Walk You Through:

What companies actually expect from Data Engineers

A real end-to-end pipeline (Bronze → Silver → Gold) built using Databricks & Azure

The gap between “learning” and “getting hired”

Common mistakes that slow people down

📍Who This Is For:

SQL Analysts looking to move into Data Engineering

Data professionals stuck at the “learning stage”

Anyone curious about Databricks, PySpark, and cloud pipelines

📍What You’ll Leave With:

A clear roadmap to transition into Data Engineering

Understanding of what real-world projects look like

Whether this path is right for you

👩🏽‍💻 About the Host

Hosted by Joy Onuoha, a Data Professional specialising in:

Databricks & PySpark
Azure Data Engineering
End-to-end pipeline development

[https://www.linkedin.com/in/joy-onuoha-ebedo-221aa0172?](LinkedIn%20)

đź“© Next Steps

At the end of the session, I’ll share how you can build this type of project step-by-step with guidance — if you decide it’s the right fit.

(No pressure — this session is designed to give you clarity first.)

Related topics

Cloud Computing
Microsoft Azure
Big Data
Data Analytics
Data Engineering

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