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  1. 1

    Check

    • Staff Data Engineer, Platform

      9191 out of 100, above the cut-off of 65, fire-assayed against your profile
    • Senior Data Engineer

      8484 out of 100, above the cut-off of 65, fire-assayed against your profile
      Cut-off 65
    • Analytics Engineer

      6464 out of 100, below the cut-off of 65, fire-assayed against your profile
  2. 2

    Proofread

    Owned the nightly ingestion path from production Postgres into the warehouse.

  3. 3

    Track

    1. Interested
    2. Tailored
    3. Applied
    4. Interview
    5. Offer

Illustrative: authored for this page.

You have been picking one or the other.

Generic, at scale

Cheap, and mostly ignored.

Tailored, by hand

Every evening you had.

SwiftFit

And your evenings back.

You see the jobs worth your time, read the resume already written for the one you pick, and apply. The same application, tailored, at the speed of sending it raw.

Graded against what you want. Not what you last did.

What you asked for

Staff-level data platform work. Ownership of a pipeline end to end. No on-call rotation.

Staff Data Engineer, Platform · Verrill Grid

Work
9/10
Industry
8/10
Level
9/10
Day to day
7/10
Reported grade

91

Above the cut-off of 65.

Verdict

Apply

You binned three like this. On-call, every time.

Add as a ruleNot that

Nothing is filtered until you say so.

Then it writes the one you send.

Illustrative: authored for this page
Experience

Owned the nightly ingestion path from production Postgres into the warehouse, the ETL and the dimensional models on top of it.

The marked line, before and after

Built and maintained ETL pipelines for the analytics team, moving data from production Postgres into the warehouse nightly.

Owned the nightly ingestion path from production Postgres into the warehouse, the ETL and the dimensional models on top of it.

Length
One page or two, your choice
Download
PDF or Word
Evidence
Nothing you did not do

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