A data engineer résumé example, written in runtimes and cost
One complete data engineer résumé, written out in full. The person is invented. The reading and the score come from the product itself.
— a pipeline that runs is not news. one that got cheaper is.

Data engineering is full of work that is invisible until it breaks, and résumés in this field often describe the stack rather than the effect. This example is written out in full so you can read the effect version, then run through the tools here to see what a parser stores. The candidate is invented. Ilkka Ravensbourne does not exist, neither employer exists, and every figure was chosen to demonstrate a shape.
The example, in full
An invented person. Not a real document, and not yours.
Ilkka Ravensbourne
Data Engineer
Helsinki, Finland · [email protected] · +358 9 5550 0141
Summary
Data engineer with eight years building pipelines for retail and telecoms. Works on cost, freshness and the alert that fires before anyone notices.
Experience
Senior Data Engineer · Kaarmela Retail, Helsinki · 2021 to present
- Rebuilt the nightly warehouse load for 240 tables, cutting it from 5 hours to 50 minutes.
- Reduced warehouse cost by 37% by partitioning 9 of the 12 largest tables.
- Introduced data quality tests on 180 models and cut incidents from 14 to 3 a quarter.
- Moved 60 legacy scheduled jobs onto one orchestrator with 0 unplanned downtime.
Data Engineer · Verlaakso Telecom, Tampere · 2017 to 2021
- Built the event pipeline handling 400 million records a day at 99.95% delivery.
- Cut pipeline failures by 52% by adding schema checks at ingestion.
- Wrote the on-call runbook for 30 pipelines and trained 6 engineers on it.
Education
MSc Computer Science · Aurajoki Technical University, Turku · 2012 to 2017
Skills
Python, SQL, Spark, dbt, Airflow, Kafka, BigQuery, data modelling, cost optimisation, on-call
Languages
Finnish · native · English · C1 · Swedish · B1
Runtime, cost, incidents
A nightly load for 240 tables cut from five hours to fifty minutes. Warehouse cost down 37% after nine of the twelve largest tables were partitioned. Incidents from fourteen to three a quarter once 180 models carried data quality tests. Those three are the whole job stated in three sentences, and a platform lead recognises every one of them.
The migration line is the fourth kind: sixty legacy scheduled jobs moved onto one orchestrator with no unplanned downtime. Migrations are where trust is earned in this work, and the absence of an outage is the result worth reporting.
Scale lines still need a quality figure beside them
Four hundred million records a day is a scale claim, and on its own it describes a company rather than an engineer. The example attaches 99.95% delivery to it, which turns it into a statement about the pipeline that was built.
The schema check line works the same way: failures down 52% after checks were added at ingestion. It names a decision, and the decision has a number.
What the reading found
The door on this page hands the document to the résumé builder as plain text, through the same import an uploaded file goes through, and the review shows every field beside the line it came from. Here the completeness pass found four readable sections, 111 words of experience evidence and ten distinct skills, with three languages kept in their own section.
No language model is involved. Each reader is deterministic, every string it emits is checked in code to be a span of the document, and where the rules are unsure they ask rather than guessing a section name.
What the checker scored it
Ninety-seven out of 100, with one improvement remaining worth 8 points. The arithmetic is 100 × 30% + 100 × 30% + 92 × 40% = 97, explained in the article on the score. Seven action-led lines, five measurable, seven lines of depth, and 178 readable words against a band opening at 250.
Engineering pages are short because engineers delete things, and the volume rule is the only rule that penalises it. The ATS checker names it, prices it at eight points, and leaves the decision alone.
What this example leaves off
No certification badges, no cloud vendor logos and no list of forty technologies. Ten skills is enough to match a posting, and a longer list dilutes the five that are attached to an outcome in the experience lines.
Architecture diagrams and repository links are left off as well. A platform lead will ask about architecture at interview, where the answer can be drawn and questioned. On paper, a runtime that fell from five hours to fifty minutes says more about the architecture than a diagram would.
What to change for your own
Change the stack and keep the structure. Batch, streaming, lakehouse and warehouse work all use this shape with different tool names, and the numbers stay in the same three families. Then put in your own runtimes, costs and incident counts.
Keep one operational line. Keep the languages if they matter where you are applying. The design gallery holds 37 layouts, and the data analyst example, the DevOps engineer example and the QA engineer example show the same structure beside it.
Write yours beside it
Opens the builder with Ilkka's example loaded, saved as its own entry in the Ink design. Replace every line with your own. Free, no account.
Use this exampleCheck a résumé insteadQuestions
- Is Ilkka Ravensbourne a real engineer
- No. The person is invented for this page, and so are Kaarmela Retail and Verlaakso Telecom. The figures show a shape and describe nobody's work.
- Which numbers matter most for a data engineer
- Runtime, cost and incident count. They map directly onto what a data platform lead is measured on, and all three are things you already know about your own pipelines.
- Should the tool list include everything I have touched
- Ten entries is enough. The example names ten and attaches five of them to an outcome in the experience lines, which is the part that makes a tool name evidence rather than a claim.
- What did the checker score it
- 97 out of 100, with one improvement remaining worth 8 points. The document has 178 readable words, and the volume rule's top band opens at 250.
- Is a runbook worth a line
- Yes. Writing the on-call runbook for 30 pipelines and training six engineers on it is operational maturity, and it is the difference between someone who builds pipelines and someone who can be given the pager.
- Which design is this rendered in
- Ink, one of the 21 ATS-safe layouts out of 37. It is the plainest page in the gallery, which suits a document whose content is almost entirely figures.
Conxfolio is a free set of four career tools: a résumé builder with 37 rendered layouts, an ATS résumé checker that prints its own arithmetic, a cover letter builder that traces every proof paragraph back to the line it came from, and a portfolio builder with 20 authored designs. There is no account to create, nothing is held back for a paid plan, and no language model is used anywhere in the product, so the readers, the score and the letter are deterministic code you can check.