Uploaded May 2026 | Updated September 2026, 59 minutes ago

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My FREE Course to be a Data Engineer 👉 lukeb.co/de-crash-course
My Job Market Analytics App 👉 https://datanerd.tech

𝗠𝘆 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗡𝗲𝗿𝗱𝘀
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🛠️ SQL for Data Engineering 👉🏼 youtu.be/UjhFbq4uU2Y
🐍 Python for Data Analytics 👉🏼 youtu.be/wUSDVGivd-8
💽 SQL for Data Analytics 👉🏼 youtu.be/7mz73uXD9DA
❎ Excel for Data Analytics 👉🏼 youtu.be/pCJ15nGFgVg
📊 Power BI for Data Analytics 👉🏼 youtu.be/FwjaHCVNBWA
⚛️ ChatGPT for Data Analytics 👉🏼 youtu.be/uhyMqbZI6rM
🙌 Course Bundles 👉🏼 lukeb.co/courses

𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗲𝗱 𝗕𝗼𝗼𝗸𝘀
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Fundamentals of Data Engineering 👉 amzn.to/3Qdamzh
The Data Warehouse Toolkit 👉 amzn.to/426zevq

𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮
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📫 Newsletter: lukebarousse.com/crash-courses
👨🏼‍💼 LinkedIn: linkedin.com/in/luke-b
👾 GitHub: github.com/lukebarousse
🅧 X/Twitter: twitter.com/LukeBarousse
🌄 Instagram: instagram.com/lukebarousse
⏰ TikTok: tiktok.com/@lukebarousse

00:00 - Intro
01:37 - What Does a DE Do?
03:33 - Top Tools of Data Engineers
05:01 - Data Engineering Lifecycle (Intro)
06:22 - Storage (Warehouse vs Lake vs Lakehouse)
09:14 - Storage (Tools)
11:45 - Generation & Ingestion (Batch vs Stream)
13:25 - Generation & Ingestion (Tools)
14:40 - Transformation (Data Modeling 101)
19:50 - Transformation (Tools)
23:50 - Serving (Concepts & Tools)
25:32 - ETL vs ELT
27:08 - Undercurrents (Intro)
27:38 - Orchestration (Concepts)
28:46 - Orchestration (Airflow)
30:01 - Software Engineering (Terminal, Bash, Git)
32:36 - DataOps (CI/CD)
34:10 - Data Architecture (Putting it all together)
34:34 - Top DE Skills to Learn
38:16 - How to Learn Skills

#datanerd #dataanalyst #dataengineer