Resume template · Updated October 2026
ETL developer resume template
Short answer
FAANGPath suits an ETL developer: skills print before jobs, so the integration tools, SQL dialects and schedulers you know are read first. The fictional sample maintains nightly loads for a hospital group, shortened the load window, cut failed jobs and moved old SSIS packages to Azure Data Factory. Show volumes, run times and reliability, and replace the sample numbers with your own.
Download the ETL developer sample
Grace is a fictional ETL developer. Replace every detail with your own before you send it.
The files are made in your browser by Resumity's own exporters, from this sample. The builder opens it as your own resume: click any line to replace it. Free plan, no watermark.
Why FAANGPath suits an ETL developer resume
FAANGPath prints a summary, labelled skills rows and then experience in plain black and grey. ETL postings filter on specific tools such as SSIS, Informatica or Data Factory, and on SQL, so the skills rows above the jobs answer that check first.
Second choice: Meridian. Meridian has the same skills-first order with a centred header and grey rules beside the headings.
What goes in each section, in FAANGPath's order
FAANGPath prints its sections in a fixed order, the same in the PDF and the Word file. Here is that order for this sample, and what to put in each section.
- Professional Summary. The sources and targets you work with, data volume per day or night, and the tools. One line on reliability or speed.
- Skills. Rows for integration tools, SQL and databases, scheduling and monitoring, and scripting.
- Work Experience. Bullets with run time, volume and failure rate before and after; migrations you led; data checks you added to stop bad loads.
- Projects. Use a projects line for a migration or rebuild large enough to describe on its own, with scope and result.
- Education. Degree with the year. Computer science, information systems or a related field.
The sample resume as text
The same content as the files above, so you can copy a line or compare it with your own.
Grace Albrecht
ETL Developer, Healthcare Data Warehouse
Milwaukee, WI | grace.albrecht@example.com | (414) 555-0138 | github.com/sample-grace-albrecht
ETL developer maintaining nightly loads from 40 source systems into a hospital group's data warehouse. Shortened the load window by two hours and moved legacy SSIS packages to Azure.
Experience
ETL Developer, Lakeview Health System, Milwaukee, WI (04/2021 to Present)
- Maintain nightly loads from 40 clinical and financial systems into the warehouse; the load window shrank from about six hours to four after moving large tables to incremental loads.
- Added row-count and key checks to every load, and failed jobs dropped from about 12 a month to 3.
- Moved 85 SSIS packages to Azure Data Factory with a parallel-run cutover so reports never went dark.
- Built slowly changing dimensions for providers and departments so history reports match what was true at the time.
SQL Developer, Badger Claims Processing, Madison, WI (06/2018 to 03/2021)
- Wrote stored procedures that loaded claim files from 15 insurers into SQL Server.
- Tuned the slowest monthly report from 40 minutes to under 5 with indexes and query rewrites.
- Set up SQL Agent alerts so the team learned of failed jobs before users did.
Projects
Warehouse load monitoring: A small Power BI report on job run times and failures that the on-call developer checks each morning.
- Uses the scheduler's own logs, so it needs no extra tooling.
Education
Bachelor of Science, Information Science and Technology, University of Wisconsin-Milwaukee (05/2018)
Skills
T-SQL, Incremental loads, Star schema design, Slowly changing dimensions, Data validation, SSIS, Azure Data Factory, SQL Server, Azure Synapse, Git, Clear runbooks for on-call
How to make the sample yours
Give run times and volumes
Rows or gigabytes per load, the load window, how long jobs took before and after. ETL readers think in windows and volumes.
Show reliability work
Failed jobs per month, alerts added, restartable steps, data checks that stop bad loads. Fewer 3 a.m. calls is a result every data team values.
Describe migrations by scope
Packages or jobs moved, sources reconnected, the cutover plan. Migrations are common in ETL roles and readers want to know you have run one.
Name the warehouse model
Star schemas, slowly changing dimensions, incremental loads. These words show you understand what the pipeline feeds.
Keywords to keep where they are true
Terms this kind of resume is usually searched for. Use the posting's exact wording, and only for work you have done.
- ETL
- ELT
- SSIS
- Azure Data Factory
- SQL Server
- T-SQL
- data warehouse
- star schema
- slowly changing dimensions
- incremental loads
- job scheduling
- data pipelines
Mistakes to avoid
- Tool lists without volumes or run times.
- Skipping failures and how you handled them.
- Calling yourself a data engineer if the posting wants ETL, or the reverse, without showing the work.
- Real table names or patient data from a past employer.
How the sample PDF reads in text extractors
We exported this sample with Resumity's PDF exporter in Chrome on 2026-10-29 and read the file back with three open-source text extractors. This shows whether software that turns a PDF into text can recover it; it is not a test of any commercial applicant tracking system. How we test templates.
| Extractor | Name, email, phone | Headings | Bullets intact |
|---|---|---|---|
| pdf.js 4.10.38 | All found | 5 of 5 | 8 of 8 |
| pdftotext (Xpdf) 4.00 | All found | 5 of 5 | 8 of 8 |
| pypdf 6.13.0 | All found | 5 of 5 | 8 of 8 |
Frequently asked questions
What is the difference between an ETL developer and a data engineer resume?
ETL resumes focus on loads, tools and warehouse models. Data engineer resumes usually add streaming, platform work and code-first pipelines. Match the words the posting uses.
Should I list old tools like SSIS?
Yes, if the posting mentions them or you migrated away from them. A migration from an old tool to a new one is a strong bullet.
How do I show performance improvements?
Give run time or window before and after, and what you changed: indexing, partitioning, incremental loads, parallel steps.
Do I need a projects section?
Only for work that does not fit in a job, such as a migration or monitoring tool you built. One or two lines is enough.
Will applicant tracking systems read this FAANGPath PDF?
The sample PDF read back with its contact details, all 5 section headings and all 8 bullets intact in three open-source text extractors (pdf.js, pdftotext and pypdf). Commercial systems such as Workday, Greenhouse or Taleo were not tested, and each employer configures its own.
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