Skip to content
MeetupOnlinePast event

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

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

This event has ended

This listing is kept as an archive. Explore upcoming events to find your next one.

See upcoming events
About this event

What to expect

Considering a career transition into data engineering but unsure whether your current skills translate into real-world industry demand? This live online session cuts through the noise of generic tutorials to show exactly what companies expect from data engineers in 2026.

Hosted by Joy Onuoha, a data professional specialising in Azure, Databricks, and PySpark, this session addresses the critical gap between learning tools and building production-ready systems. While many aspiring data engineers complete courses and build small projects, they often struggle to answer the fundamental interview question: "Can you design and build a real data pipeline?"

What You'll Learn

This isn't theory — you'll see a complete end-to-end data pipeline built using Databricks and Microsoft Azure, following the Bronze → Silver → Gold medallion architecture pattern that's become industry standard. Joy will demonstrate:

  • Real-world pipeline architecture: How data flows from raw ingestion (Bronze) through transformation (Silver) to analytics-ready datasets (Gold)
  • Industry expectations: What technical skills and architectural thinking companies actually look for when hiring data engineers
  • Common transition mistakes: The pitfalls that slow down SQL analysts and data professionals making the move to engineering roles
  • Practical implementation: Working with Databricks, PySpark, and Azure services in a realistic project context

Who Should Attend

This session is designed for data professionals at a crossroads. You're an ideal attendee if you're:

  • A SQL analyst or database professional looking to evolve into a data engineering role
  • Stuck in "learning mode" — consuming tutorials but unsure how to apply knowledge to real projects
  • Curious about whether cloud-based data engineering (specifically the Azure and Databricks ecosystem) aligns with your career goals
  • Seeking clarity on what separates junior from mid-level data engineering capabilities

What You'll Take Away

By the end of this 90-minute session, you'll have:

  • A concrete roadmap for transitioning from your current role into data engineering
  • Understanding of how production data pipelines are structured and maintained
  • Realistic expectations about the skills gap you need to bridge
  • Clarity on whether this career path suits your interests and strengths

Joy will also share information about structured project-based learning opportunities for those who wan

Running an AI event?

List it here, free.

Meetups, workshops and conferences go in front of thousands of builders after a quick review.

List your event