Resume Building
4 items
- Translating your capstone pipeline into resume bullets (impact + metrics, not task lists, e.g. "designed a fail-fast ETL pipeline processing X records/day" vs "used Cloud Run")
- ATS (Applicant Tracking System) formatting: what gets your resume rejected before a human sees it
- Tailoring the same resume for different roles (Data Engineer vs Analytics Engineer vs Cloud Engineer)
- Common resume mistakes GCP/data engineering candidates make (buzzword stuffing, no quantification, listing every tool ever touched)
You'll walk away with: a resume built from your actual project, not a template, and defensible in any interview.