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Python Developer resume

The mistake on most Python resumes is treating the language as the achievement. Hiring managers already assume you write Python; what they cannot tell is whether you shipped a Django or FastAPI service that survived real traffic, how you modeled the data behind it, and whether you wrote tests that caught regressions before users did. A strong python developer resume separates the stack into languages, frameworks, and tooling, then makes each bullet describe what the code accomplished, with the kind of measurable result that turns a task into evidence of impact.

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Priya-Nair-Python-Developer-Resume.pdfBuilt with Resimay →
Priya Nair
Python Developer (Backend / APIs)
[email protected] · (555) 262-5116 · Austin, TX · linkedin.com/in/priya-nair
Summary

Python developer with 5 years building and scaling backend services and REST APIs in Django and FastAPI. Comfortable across PostgreSQL, async task queues, and AWS, with a habit of writing tests first and keeping CI green. Shipped services handling 2M+ requests per day.

Experience
Python Developer2022 to Present
Larkfield Software
  • Built and maintained 12 REST endpoints in FastAPI backing a payments dashboard, cutting median response time from 480ms to 110ms by adding Redis caching and async DB queries.
  • Migrated a monolithic Django app to a service that handles 2M+ requests per day, introducing Celery and RabbitMQ to move report generation off the request path.
  • Raised test coverage from 54 to 88 percent with pytest, wiring the suite into GitHub Actions so failing tests block merges.
  • Optimized slow PostgreSQL queries with targeted indexes and EXPLAIN analysis, reducing a nightly batch job from 40 minutes to 6.
Junior Software Engineer2020 to 2022
Brightmark Analytics
  • Developed Flask microservices for an internal data pipeline, exposing cleaned datasets to three downstream teams via documented JSON APIs.
  • Wrote Python ETL scripts with pandas to ingest 5GB of daily CSV feeds, replacing a manual process and cutting data-prep time by roughly 8 hours a week.
  • Containerized four services with Docker and added health checks, smoothing local setup for new engineers from a day to under an hour.
  • Reviewed pull requests and paired on debugging, helping the team adopt type hints and mypy across the shared codebase.
Skills

Languages: Python, SQL, JavaScript, Bash · Frameworks: Django, FastAPI, Flask, Celery · Data and DB: PostgreSQL, Redis, pandas, SQLAlchemy · Testing: pytest, unittest, mypy, coverage · Tools: Git, Docker, GitHub Actions, Linux · Cloud: AWS (EC2, S3, Lambda, RDS)

Education
Bachelor of Science, Computer Science, University of Texas at Austin
Certifications
  • AWS Certified Developer - Associate

A worked example for a fictional candidate. Copy the structure, not the details. Swap in your own real experience.

Keyword match

Keywords ATS systems scan for

Use the ones that are genuinely true for you, in your own words. Mirror the exact phrasing from the job posting where it matches.

PythonDjangoFastAPIFlaskREST APIPostgreSQLpytestGitDockerAWSSQLCI/CD
What recruiters look for

How to make this resume stronger

Specific to python developer roles, not generic advice.

  • Name the framework, not just the language

    "Python" alone is too broad for an ATS or a hiring manager to act on. State Django, Flask, or FastAPI by name, since most backend roles screen for a specific one. If the posting says FastAPI, the word FastAPI should appear in your skills and at least one bullet.

  • Quantify the engineering, not the effort

    Strong Python bullets attach a number to the work: latency in milliseconds, requests per day, test coverage percentage, query time before and after. "Improved API performance" is weak; "cut median response time from 480ms to 110ms" is the kind of result a reviewer trusts and remembers.

  • Split skills into languages, frameworks, and tools

    Recruiters and parsers scan these groups separately. Keep languages (Python, SQL), frameworks (Django, FastAPI), testing (pytest), and infrastructure (Docker, AWS, Git) in labeled lines so each keyword matches cleanly instead of getting buried in one long string.

Common mistakes to avoid

  • Listing "Python" without naming Django, Flask, or FastAPI, leaving the reviewer guessing what you actually build.
  • Describing tasks ("wrote scripts", "fixed bugs") instead of results with concrete numbers like latency, throughput, or coverage.
  • Omitting testing and version control, which signals you may not have worked in a real production codebase.
  • Padding the resume with every library you have touched once instead of the few you can speak to in an interview.

Python Developer resume FAQ

What should a Python developer put on a resume with no professional experience?

Lead with projects and the stack you used. A deployed Django or FastAPI app with a public GitHub repo, a documented REST API, and a test suite is worth more than a list of courses. Name the framework, database, and tools (Git, Docker), and quantify what you can: number of endpoints, dataset size, or test coverage. Open-source contributions and a portfolio link also carry weight.

Should a Python resume list specific frameworks or just say Python?

List specific frameworks. Backend roles screen for Django, Flask, or FastAPI by name, and data roles look for pandas, NumPy, or PySpark. An ATS matches literal terms, so if the job posting names a framework, that exact word should appear in your skills section and in at least one bullet. "Python" by itself rarely matches what the recruiter searched for.

How do you show impact on a Python developer resume?

Tie each bullet to a measurable outcome. Good metrics for this role include response-time or latency reductions (in ms), requests or transactions handled per day, test coverage percentage, query optimization (minutes before and after), and time saved by automation. Pair the metric with how you achieved it, for example adding Redis caching or a database index, so the result reads as engineering rather than a guess.

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Last reviewed February 8, 2026.