Writing your Master Data
Master Data is plain files in your checkout. Edit them in the web app or in your editor; both write the same thing.
data/profile.yaml
Section titled “data/profile.yaml”Contact details plus the Static Sections — education, publications, awards, activities, languages. These are always included in full, never selected or rewritten.
name: Jane Doelocation: Example City, Countryemail: jane.doe@example.comphone: "+1 555 0100"linkedin: janedoegithub: janedoedata/experience/*.md and data/projects/*.md
Section titled “data/experience/*.md and data/projects/*.md”One file per Entry: YAML frontmatter, then Markdown bullets.
---employer: Example Consulting S.p.A.role: Data Engineerclient: Example Client Alocation: Example Citystart: "2024-10"end: null # null means "current"flagship: truetags: - AI Platform - MCP---
- Built the ingestion service feeding the recommendation models, moving it from nightly batches to streaming.- Led the migration of 40+ dashboards onto the new semantic layer.One file per client engagement
Section titled “One file per client engagement”A consultancy role with three clients is three Entries, not one. Selection works at Entry level, so splitting lets one client’s work be surfaced for a job where it is relevant while the others stay out.
Tags matter
Section titled “Tags matter”tags are the raw material for the Tech Stack section and a strong signal
during Selection. Keep spellings consistent — the app has a tag-lint view that
finds near-duplicates (“Postgres” vs “PostgreSQL”).
Write bullets you would defend
Section titled “Write bullets you would defend”Rewrite may re-word a bullet, never invent one. A bullet with a real number in it can be re-emphasised; a bullet with no number will never grow one. If a result is worth claiming, put the evidence in Master Data.
data/cover-letter-snippets/*.md
Section titled “data/cover-letter-snippets/*.md”Optional. Reusable paragraphs — an opening, a closing, a “why this company” pattern — that cover-letter drafting can draw on.
---kind: openingtags: [data-engineering]---
I have spent the last four years making data pipelines boring: predictable,observable, and cheap to run.What is not Master Data
Section titled “What is not Master Data”output/ is derived (safe to delete), and data/jobs/ and
data/applications/ are your tracking records — gitignored, because they are
about your job search rather than your history.