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How to Become a Data Engineer in 2026
Hosted by Aki Wijesundara, PhD
Mon, Jan 26, 2026
10:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
By continuing, you agree to Maven's Terms and Privacy Policy.
Go deeper with a course


Mon, Jan 26, 2026
10:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course


What you'll learn
A realistic view of the data engineer role in 2026
The core skills data engineers actually use
How data engineers work with product, analytics, and AI team
Where to focus when learning or reskilling
How to move from learning to production work
Why this topic matters
You'll learn from
Aki Wijesundara, PhD
AI Founder | Educator | Google AI Accelerator Alum
Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google’s AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.
He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.
Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.
Career highlights
- Ex–Google AI Accelerator researcher focused on responsible AI and applied ML.
- PhD in AI & Cognitive Systems with published research across top universities.
- Former researcher with teams affiliated with MIT, University of Oxford, & King’s College London.
- Co-founder of Snapdrum — delivered AI systems for finance, education, and healthcare.
- Built and deployed AI product pipelines used by PMs, startups, and enterprise teams.
- Instructor for multiple AI builder programs, helping 500+ professionals ship AI features fast.
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