Resume template · Updated October 2026
Python developer resume template
Short answer
Pick Henrietta for a Python developer at an insurer, bank or other conventional employer: a plain business layout that prints education right after experience, which helps when your degree is relevant, as an applied statistics MSc is here. The fictional sample has five years of Django, FastAPI, pandas and Airflow work, with bullets on pipeline reliability, a 50-minute job cut to six, and added type checks.
Download the python developer sample
Hannah is a fictional python 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 Henrietta suits a python developer resume
Henrietta is the conventional business layout of the seven, a good match for the insurers and banks that hire many Python developers. It prints education straight after work experience, so a quantitative master's degree sits high on the page, and its three-column skills grid fits many short library names.
Second choice: Meridian. Meridian prints skills above experience; use it for startups whose posting is mostly a list of Python libraries.
What goes in each section, in Henrietta's order
Henrietta 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. Python covers web back ends, data pipelines, automation and machine learning, so say which you do in the first sentence. Then the domain: "insurance pricing data" places you faster than "versatile Python developer".
- Work Experience. Pair each library with a result: the Django app and who uses it, the Airflow pipeline and how often it failed before and after, the pandas job and its run time. One bullet on code quality (typing, tests, packaging) shows you write Python other people can maintain.
- Education. Henrietta prints this directly after your jobs. A quantitative degree deserves its field and, if it matches the role, a thesis line in the detail field, as in the sample.
- Skills. The grid drops group labels, so the first group should hold frameworks and libraries, the second infrastructure, the third working skills. Give versions only where a posting does (Python 3.12, Django 5).
The sample resume as text
The same content as the files above, so you can copy a line or compare it with your own.
Hannah Brodsky
Python Developer, Django and Data Pipelines
Hartford, CT | hannah.brodsky@example.com | (860) 555-0112 | linkedin.com/in/sample-hannah-brodsky | github.com/sample-hannah-brodsky
Python developer with five years in insurance, building Django tools for underwriters and the pipelines that feed pricing models. MSc in applied statistics, so at ease with what actuaries need from the data.
Experience
Python Developer, Ashgrove Insurance, Hartford, CT (04/2023 to Present)
- Built a Django app where underwriters upload broker spreadsheets; it validates 40 fields and loads clean rows into PostgreSQL.
- Moved the nightly rating data jobs from cron scripts to Airflow DAGs with retries and alerts; runs needing a manual fix went from weekly to about once a quarter.
- Sped up a pandas pricing extract from 50 minutes to 6 with vectorised operations and Parquet files.
- Added type hints and mypy to a 30,000-line codebase module by module, and raised pytest coverage from 41 to 78 percent.
Junior Python Developer, Meadowlane Analytics, Stamford, CT (09/2021 to 03/2023)
- Wrote FastAPI endpoints that serve risk scores to an insurer client's quoting site.
- Automated a monthly claims report that two analysts had built by hand in Excel, using pandas and openpyxl.
- Packaged shared helpers as an internal library with Poetry and versioned releases.
Education
MSc, Applied Statistics, Connecticut Valley University (05/2021). Thesis: modelling claim frequency with generalised linear models
BA, Mathematics, Connecticut Valley University (05/2019)
Skills
Python, Django, FastAPI, pandas, SQL, Airflow, pytest, mypy, PostgreSQL, Docker, AWS S3, Poetry, Git, Working with actuaries, Requirements gathering
How to make the sample yours
Decide which Python you write
Web services: keep Django and FastAPI up front. Pipelines: lead with Airflow, pandas or Polars and SQL. Automation: scripting, CLIs and schedulers. Rewrite the headline to match.
Replace the insurance users
Change underwriters and actuaries to the people who rely on your code: analysts, support agents, a mobile app. Python work is judged by who depends on it.
Give one run-time or reliability figure
The sample cuts a job from 50 minutes to six and makes failed pipeline runs rare. Take yours from job logs or the scheduler history.
Show you write maintainable Python
Type hints with mypy, pytest coverage, an internal package: keep the bullet that fits your work.
Shorten the degree if it is unrelated
Henrietta still prints education after experience. If your degree has nothing to do with the role, leave it as a single line without the detail.
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.
- Python
- Django
- FastAPI
- pandas
- Apache Airflow
- SQL
- PostgreSQL
- pytest
- mypy
- type hints
- ETL pipelines
- Docker
- AWS S3
- Poetry
Mistakes to avoid
- "Python" alone in the headline. Add the area: web, data, automation or machine learning.
- A skills grid of every library you imported once. Keep the ones you could debug.
- Jupyter notebooks described as production systems. Say what ran on a schedule and who used it.
- Leaving SQL out. Most Python roles touch a database daily.
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 | 4 of 4 | 7 of 7 |
| pdftotext (Xpdf) 4.00 | All found | 4 of 4 | 7 of 7 |
| pypdf 6.13.0 | All found | 4 of 4 | 7 of 7 |
Frequently asked questions
Should a Python developer list data science libraries?
Only those you use for the work you want. pandas and NumPy fit pipeline and analytics roles; scikit-learn belongs only if you have trained models that others relied on.
How do I show Python skill without a public GitHub?
Through bullets that show production use: a service, a schedule, a test suite, its users. Most professional Python lives in private repositories, and hiring managers know it.
Is a master's degree worth listing for a Python role?
Yes, especially in a quantitative field. Henrietta prints education after experience, so the degree is seen without pushing your jobs down.
Should I list Python 2 experience?
Only if the job mentions legacy code. Otherwise it dates the page; if you moved a codebase from Python 2 to 3, describe that migration as a bullet instead.
Will applicant tracking systems read this Henrietta PDF?
The sample PDF read back with its contact details, all 4 section headings and all 7 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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