Professional Resume Template for

Python Software Engineer

Marcus T. Okafor

Austin, TX

(512) 555-0194

marcus.okafor@gmail.com

github.com/marcokafor · linkedin.com/in/marcus-okafor · marcokafor.dev

Professional Summary

Python Software Engineer with 10 years of experience building scalable backend systems and data pipelines for fintech and SaaS companies. Specializes in RESTful API design, microservices architecture, and cloud-native deployments on AWS. Reduced API response latency by 43% at Meridian Financial through query optimization and caching strategies, and automated ETL workflows that saved 18 engineering hours per week. Proficient across the full Python ecosystem including FastAPI, Django, SQLAlchemy, and Celery, with strong command of PostgreSQL, Redis, and Docker.

Work Experience

Senior Python Engineer
Meridian Financial Technologies — Austin, TXMarch 2022 – Present

  • Architected a microservices migration from a Django monolith to FastAPI services, reducing average API response time by 43% and cutting infrastructure costs by $28,000/year
  • Built an asynchronous ETL pipeline using Celery and Redis that processes 2.4M transaction records daily with 99.97% reliability, eliminating 3 manual reconciliation steps
  • Led a team of 4 engineers to deliver a real-time fraud detection module integrated with a third-party ML model, reducing false-positive chargebacks by 31%
  • Implemented comprehensive test coverage (unit + integration) using pytest, raising coverage from 54% to 89% across 6 core services
  • Partnered with the DevOps team to containerize 12 microservices with Docker and deploy via CI/CD pipelines on AWS ECS, reducing deployment time from 40 minutes to under 8 minutes
  • Mentored 2 junior engineers through quarterly code review cycles and internal documentation sprints

Python Backend Developer
Halcyon Labs — Denver, COAugust 2015 – February 2022

  • Designed and launched a RESTful API for a SaaS analytics platform serving 11,000+ active users, handling 500K+ daily requests with 99.9% uptime
  • Optimized PostgreSQL query performance by introducing composite indexes and query caching via Redis, reducing p95 query time from 1.2s to 190ms
  • Automated client report generation using Pandas and Jinja2 templating, cutting report delivery time from 4 hours to under 12 minutes per batch
  • Implemented OAuth 2.0 and JWT-based authentication across 3 product modules, resolving 2 prior security audit findings and achieving SOC 2 compliance readiness
  • Integrated third-party APIs (Stripe, Twilio, SendGrid) into a unified notification and billing workflow, reducing developer integration time for new clients by 60%
  • Collaborated with 2 data scientists to productionize 4 ML models via scikit-learn wrappers and scheduled Celery jobs

Education

Bachelor of Science in Computer ScienceUniversity of Colorado — Boulder, COGraduated: 2014

Skills

Languages :Python, SQL, Bash, JavaScript, TypeScript

Frameworks & Libraries FastAPI, Django, Flask, SQLAlchemy, Celery, Pandas, NumPy, scikit-learn, Pydantic, Jinja2

Databases: PostgreSQL, MySQL, MongoDB, Redis, SQLite

Cloud & DevOps: AWS (EC2, S3, Lambda, ECS, RDS), Docker, Kubernetes (basic), GitHub Actions, CircleCI, Terraform (basic), Nginx

Practices & Tools: REST API design, microservices architecture, CI/CD, OAuth 2.0 / JWT, pytest, Test-Driven Development (TDD), Git, Agile/Scrum, OpenAPI/Swagger, Postman

Projects

TxnGuard — Real-Time Transaction Anomaly Detector
Role: Sole backend developer; designed the ingestion layer, scoring API, and alerting pipelineStack/Tools: Python, FastAPI, Redis Streams, PostgreSQL, Docker, AWS LambdaImpact: Processed 500K+ simulated transactions in benchmark tests with sub-80ms latency; deployed as an internal tool adopted by 2 product teams within 6 weeks of release.

OpenReport — Self-Hosted Analytics Export Engine
Role: Lead contributor in a 3-person open-source team; owned the PDF/CSV rendering moduleStack/Tools: Python, Django, Celery, Pandas, WeasyPrint, PostgreSQL, Docker ComposeImpact: Garnered 340+ GitHub stars within 4 months of public release; reduced report generation time for beta users by 78% compared to their previous manual workflows.

PriceWatch CLI — E-Commerce Price Tracker
Role: Personal project; full-stack ownership from scraping to alertingStack/Tools: Python, BeautifulSoup, Requests, SQLite, Telegram Bot API, GitHub ActionsImpact: Tracked 90+ product listings across 4 retail sites; triggered alerts with 94% accuracy and saved personal testing users an average of $210/month on tracked purchases.

Certifications

  • AWS Certified Developer – Associate | Amazon Web Services | 2023
  • Python Institute PCEP – Certified Entry-Level Python Programmer | Python Institute | 2019
  • Python Institute PCAP – Certified Associate in Python Programming | Python Institute | 2021
  • HashiCorp Terraform Associate | HashiCorp | 2022
  • Google Professional Data Engineer | Google Cloud | 2023

Additional information

  • Languages: English (native), Spanish (conversational)
  • Open Source: Active contributor to the FastAPI and SQLModel GitHub repositories; 3 merged PRs in 2024 addressing documentation gaps and edge-case request validation bugs
  • Availability: Open to remote and hybrid roles; willing to travel up to 10% for team on-sites

Job Market Insights

Market data and opportunities for

Python Software Engineer

Job Market Insights

$95,000

-

$145,000

Avg:

$118,000

Growth Outlook:

Python Software Engineers remain among the most in-demand technical hires in the US market, driven by sustained investment in cloud infrastructure, data engineering, and AI/ML product development. Industries with the highest hiring volume include fintech, healthtech, enterprise SaaS, and e-commerce. While AI-assisted code generation tools are reshaping routine scripting tasks, mid-level engineers who specialize in system design, API architecture, and ML integration are seeing increased rather than decreased demand. The Bureau of Labor Statistics projects software developer roles to grow approximately 25% through 2032, with Python-specific postings consistently representing 30–40% of backend job listings on major job boards.

12–18% annually

Key Skills Required

Focus on these skills when customizing your resume for recruiter screenings.

Proficiency in Python for scripting, automation, and production backend development||Experience designing and consuming RESTful APIs using FastAPI or Django REST Framework||Strong knowledge of relational databases and writing optimized SQL queries in PostgreSQL or MySQL||Experience with asynchronous task queues like Celery with Redis or RabbitMQ||Hands-on containerization with Docker and basic orchestration using Kubernetes or AWS ECS||Working knowledge of AWS, GCP, or Azure for deploying and monitoring services||Ability to write maintainable unit and integration tests using pytest with meaningful coverage||Understanding of authentication and authorization patterns including OAuth 2.0, JWT, and API keys||Experience with CI/CD pipelines using GitHub Actions, CircleCI, or similar tools||Familiarity with data processing using Pandas and NumPy for ETL or analytics||Experience working in Agile/Scrum teams, participating in code reviews, and writing clear documentation||Understanding of microservices architecture and trade-offs compared to monoliths||Experience integrating third-party APIs, handling webhooks, retries, and failures at scale||Strong Git skills including branching strategies and pull request workflows||Basic DevOps knowledge including infrastructure-as-code tools like Terraform or CloudFormation

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