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Most data engineer resumes get rejected before a human ever reads them - not because the candidate isn't qualified, but because the resume can't be parsed correctly by the software scanning it first. In this video, I break down the exact ATS-safe resume format, walk through every section, and show you how to tailor it for each job application in minutes instead of rebuilding it from scratch.

WHAT YOU'LL LEARN:
- The formatting rules that determine whether your resume gets parsed correctly (layout, fonts, margins)
- A full section-by-section breakdown: Summary, Skills, Experience, Projects, Education, Certifications
- What to include and what to leave off your resume entirely
- How to tailor one master resume for every job application in under 10 minutes
- The exact ATS-approved template shown throughout, free to download and adapt

⏱️ TIMESTAMPS:
0:00 Intro
00:36 ATS-friendly resume (why resumes get auto-rejected)
01:53 The ATS-safe format rules
03:43 The perfect resume format
04:18 Resume Section 1 - Header
05:24 Resume Section 2 - Summary
06:58 Resume Section 3 - Technical Skills
08:10 Resume Section 4 - Professional Experience
09:52 Resume Section 5 - Projects
11:16 Resume Section 6 - Education & Certifications
12:08 Include vs. exclude checklist
12:39 No of pages in a resume
14:25 How to tailor your resume for every job
16:04 Recap

Don't have a project to put on this resume yet? SQLNest has real-world case studies and interview-style SQL problems you can solve, document, and turn straight into a portfolio project - and a dedicated data engineering projects feature is coming to the platform very soon.
👉 https://sqlnest.com/

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The Perfect Resume for Data Engineer Roles (ATS-Approved Format)