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From SQL to Data Engineering: Building Real Azure & Databricks Pipelines

Event artwork for From SQL to Data Engineering: Building Real Azure & Databricks Pipelines

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About this event

What to expect

Wondering how to make the leap from SQL analyst to Data Engineer — but unsure whether you have what it takes? This live online session cuts through the noise and shows you exactly what companies expect when they hire Data Engineers. Hosted by Joy Onuoha, a Data Professional specialising in Databricks, PySpark, and Azure pipelines, this session is designed to give you clarity on whether this career path is right for you.

What You'll See

This isn't a generic tutorial — you'll walk through a real end-to-end data pipeline built with Databricks and Azure, following the industry-standard Bronze → Silver → Gold medallion architecture. You'll see how raw data is ingested, transformed, and refined into production-ready datasets used by analysts and downstream systems. This is the kind of project that gets asked about in interviews and demonstrates genuine engineering capability.

Who Should Attend

This session is targeted at:

  • SQL Analysts looking to transition into Data Engineering roles
  • Data professionals stuck in tutorial hell who can't bridge the gap between learning and getting hired
  • Anyone curious about Databricks, PySpark, and cloud-based data pipelines
  • Technical folks who want to understand what real-world data engineering projects actually look like

You don't need prior experience with Databricks or Azure — but a working knowledge of SQL and basic data concepts will help you follow along.

Key Takeaways

By the end of this session, you'll understand:

  • What hiring managers and companies actually expect from Data Engineers (beyond tool knowledge)
  • How to design and implement a production-grade data pipeline using modern cloud infrastructure
  • The most common mistakes that slow down career transitions from analytics to engineering
  • Whether Data Engineering aligns with your skills, interests, and career goals

Joy will also share a clear roadmap for transitioning into Data Engineering — no fluff, just practical steps based on real hiring criteria and project requirements.

About the Host

Joy Onuoha is a Data Professional with hands-on experience building production pipelines using Databricks, PySpark, and Azure. She specialises in end-to-end data engineering solutions and has helped analysts and aspiring engineers navigate the often-confusing transition into engineering roles. This session reflects her practical, project-focused approach to learning.

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