AI-Driven Data Engineering w/ Christopher Simusokwe (S1-E10) скачать в хорошем качестве

AI-Driven Data Engineering w/ Christopher Simusokwe (S1-E10)

In this season finale, we sat down with *Christopher Simusokwe*, a seasoned data leader with over two decades of experience building and leading data engineering teams across finance, telco, and mining. Together, we explore how AI is reshaping the world of data engineering — from evolving roles and real-time architectures to what it really takes to future-proof your career as automation and AI become deeply embedded in data systems. Christopher shares practical insights from the trenches: how to balance depth vs breadth in your technical growth, build pipelines that serve both humans and machines, and transition from reactive “data janitors” to proactive data product owners. Whether you’re a data engineer, AI professional, or simply curious about the future of modern data systems, this episode breaks down how automation, orchestration, and reasoning are redefining what it means to work with data. 💡 What You'll Learn 👉🏽 The Evolution of Data Engineering — From reactive “data janitors” to proactive product owners. 👉🏽 T-Shaped Skills — How to balance depth, breadth, and technical mastery in your career. 👉🏽 Real-Time Data Shift — How streaming and ELT architectures changed everything. 👉🏽 Data Quality & Governance — Why “garbage in, garbage out” matters more in the AI era. 👉🏽 Good vs Great Engineers — Building self-service and abstraction for scale. 👉🏽 Mentorship & Leadership — How to coach teams through complexity and failure safely. 👉🏽 Future-Proofing with AI — How data engineers can evolve with automation and agentic systems. 👉🏽 The End of Data Migration? — Why context engineering might replace traditional movement. ⏰ Timestamps 00:00 Trailer & Episode Intro 01:20 How data engineering evolved from janitorial to product-oriented roles 04:30 Structured vs unstructured data – what’s really changed 08:59 Building T-shaped teams and mastering fundamentals 13:28 Specialisation vs generalisation in modern data teams 15:58 From batch to real-time – the streaming revolution 18:58 Aligning data architecture with business needs 24:27 Feeding AI models – from analytics-ready to model-ready pipelines 27:56 Governance, lineage, and building data trust 30:26 Good vs Great Engineers – self-service, abstraction, and ROI 38:25 Managing expectations and under-promising strategically 41:54 Automation, AI, and the next evolution of data engineering 47:23 The rise of context engineering and agent orchestration 49:23 The future – AI-powered data systems and disappearing data migrations 51:52 Final thoughts and advice for future data engineers 🔗 Stay Connected Subscribe to What The Tech!? for engaging discussions on AI, technology, and the innovations shaping our future. 📺 Follow us: 🔗 LinkedIn: [What The Tech on LinkedIn](  / what-the-tech-podcast-au  ) 🎧 Spotify: [Listen to the Podcast](https://open.spotify.com/) 👋 About Us What The Tech Podcast (AU) is your go-to podcast for simplifying complex tech topics and exploring the impact of AI on business, society, and everyday life. Hosted by Rene and Vivienne, we break down the trends and tools shaping the future of technology in a fun, conversational way. #WhatTheTechPodcast #AI #DataEngineering #Automation #ArtificialIntelligence #TechPodcast #AIinData #SeasonFinale #DataGovernance #AustraliaTech