Resume review

Are you applying to hundreds of Data Engineering roles but not getting interview calls? The problem usually isn't your skills—it’s how your resume communicates them.

Recruiters at top-tier companies spend less than 10 seconds scanning a resume. If they don’t immediately see the right cloud architecture concepts, data volume metrics, and business impact, they move on.

In this live, 1:1 resume teardown session, I will help you engineer a resume that passes ATS filters and catches the eye of hiring managers at Big 4 firms and Fortune 500 tech companies.

🎯 What We Will Do in This Session:

* ✂️ Bullet Point Makeover: Shift your experience from "Task-based" (e.g., "Wrote SQL queries") to "Impact-based" (e.g., "Optimized BigQuery pipelines, reducing costs by 30%").

* 🔍 ATS Optimization: Ensure your tech stack (GCP, AWS, Azure, PySpark, Airflow) is placed perfectly to trigger keyword matches.

* 🏗️ Project Framing: Structure your personal or professional projects to showcase end-to-end architecture rather than just basic coding.

* 🌐 LinkedIn Profile Polish: Quick tips to optimize your LinkedIn headline, summary, and experience sections to attract inbound recruiter DMs.

👥 Who Is This For?

* Freshers struggling to highlight academic projects.

* Traditional ETL/IT developers trying to rebrand themselves as Cloud Data Engineers.

* Experienced DEs aiming for Senior/Lead roles at top tech companies.

🎁 What You’ll Walk Away With:

* Live, line-by-line feedback and actionable corrections.

* The exact "Action + Tech + Impact" formula for writing killer bullet points.

* Confidence that your profile is ready for the competitive job market.