Thinking About Data Engineering? Watch This CEO Q&A Before You Pay Anything скачать в хорошем качестве

Thinking About Data Engineering? Watch This CEO Q&A Before You Pay Anything

⬇️ Click here to learn how to land a high paying data engineering role NOW ⬇️ https://dataengineerinterviews.com/op... If you’re new to my channel, my name is Christopher Garzon. I run the top Data Engineering Academy in the country, where we help students transition into data engineering from other data professions to increase their compensation. How I got here… At 18 years old, I started at Boston College. At 20, I was sneaking into graduate-level classes to take machine learning and data science courses. At 21, I invested in a data science course from a mentor and wired him $3,000 without ever meeting him. At 22, I landed my first job as a data analyst at Amazon, making $60,000 per year. At 24, I became a data engineer at Amazon, increasing my salary to $100,000 and started angel investing in a couple of data companies. At 25, I moved to a startup as a data engineer and doubled my income to $200,000 per year. At 26, I was making about $350,000 at Lyft. At 27, Lyft stocks went up, and my total compensation reached around $450,000. That same year, I launched the Data Engineering Academy. For the last two and a half years, I’ve been running the Data Engineering Academy full-time, helping thousands of people transition into data engineering and significantly increase their earning potential. To all the data professionals grinding—your journey is still being written. The bigger the obstacles, the greater the story. Remember, don’t settle for your next job. Go for a better one. Chris 00:00:00 — From $60K at Amazon to $500K as a Data Engineer (My Story) 00:0:19 — What this AMA is + who it’s for 00:0:33 — Common job search mistakes (why people stay stuck) 0:52 — What you’ll get from this AMA (clarity + direction) Ask CEO of Data Engineer Academ… 00:00:00 — From $60K at Amazon to ~$500K as a Data Engineer (My story) 00:00:19 — What this AMA is about and who it’s for 00:00:33 — Why most people are doing tech job searching wrong 00:00:52 — What you’ll gain from watching this AMA 00:01:01 — AMA begins 00:01:10 — Project Manager → TPM: how Data Engineer Academy helps 00:02:20 — What a TPM actually does (role breakdown) 00:02:55 — Job placement timelines: how long it really takes 00:04:02 — Placement rates explained (who succeeds and why) 00:05:20 — Desktop Support → Data Analyst: personalized curriculum 00:05:54 — Filling skill gaps (SQL vs Python & data visualization) 00:06:17 — Scaling job applications and why it takes hundreds 00:07:03 — Projects explained: choosing vs highest-impact recommendations 00:07:49 — Slack access issues addressed 00:08:59 — Mentor-to-student ratio 00:09:46 — How people reach $400K–$600K (US vs Canada, visas, comp) 00:12:32 — Program cost breakdown ($10K–$50K) 00:13:17 — Backend Dev → Data Engineer + AI impact on data roles 00:14:18 — Booking a call & how the team helps candidates 00:14:44 — Will AI replace data analysts? 00:15:25 — The 20-interview guarantee explained 00:17:01 — Data Engineering → AI: how big is the gap? 00:18:06 — AI-only pathway explained 00:18:43 — No data background (healthcare): should you go for it? 00:19:16 — Mindset, consistency, and why most people fail 00:19:36 — NYC job market: remote vs hybrid vs in-office 00:21:34 — DevOps / IT PM → Data & AI roles 00:22:39 — Why TPM in Data is the strongest cross-functional fit 00:23:35 — Why AI + analytics is a growing niche 00:26:34 — How to test if data engineering is right for you 00:28:03 — The real “bet on yourself” decision 28:57 — UK/London question begins (international support) ⬇️ Click here to learn how to land a high paying data engineering role NOW ⬇️ https://dataengineerinterviews.com/op...