Marcus Delgado

Senior Python Developer

Contact

marcus.delgado@devmail.io

+1 555 0147

Austin, TX

marcusdelgado.dev

Skills

Python (3.10+)

FastAPI / Django / Flask

PostgreSQL & SQLAlchemy

Apache Airflow

Docker & Kubernetes

AWS (Lambda, ECS, RDS, S3)

Celery & Redis

pytest & test-driven development

CI/CD — GitHub Actions & Jenkins

Links

Portfolio

GitHub

LinkedIn

Profile

Senior Python Developer with 8 years building scalable backend systems and data pipelines for fintech and SaaS platforms. Specializes in FastAPI microservices, distributed task queues, and cloud-native deployments on AWS. Reduced API latency by 62% at current employer and led a team migration from monolith to microservices serving 4M monthly active users.

Work Experience

Senior Python DeveloperMar 2021 - Present
Veridian Financial Technologies, Austin, TX
  • Architected a FastAPI-based transaction processing service handling 18,000 requests/sec, cutting average response time from 340 ms to 130 ms.
  • Re-engineered ETL pipeline using Apache Airflow and pandas, reducing nightly data reconciliation runtime from 6.2 hours to 47 minutes for a dataset of 900M records.
  • Mentored 4 mid-level engineers through a 9-month monolith-to-microservices migration, delivering on schedule and reducing deployment incidents by 41%.
Python DeveloperJun 2018 - Feb 2021
Lattice Cloud Solutions, Denver, CO
  • Built a Celery/Redis-backed async job queue that processed 2.3M nightly report generation tasks, eliminating a $120K/yr third-party vendor dependency.
  • Developed RESTful APIs with Django REST Framework consumed by 12 internal product teams, achieving 99.97% uptime over 18 months.
  • Introduced pytest-based regression suite covering 87% of codebase, reducing production bug escapes by 34% within two quarters of rollout.
Junior Python DeveloperAug 2016 - May 2018
Orion Data Systems, Boulder, CO
  • Wrote Python scripts to automate data ingestion from 40+ third-party APIs, saving the data engineering team roughly 22 hours of manual work per week.
  • Contributed to an internal dashboard using Flask and PostgreSQL that surfaced real-time KPIs for 6 enterprise clients, replacing a static weekly PDF report.
  • Optimized slow SQL queries flagged in Datadog, reducing p95 query time by 55% across the reporting module.

Education

B.S. Computer Science2012 - 2016
University of Colorado Boulder, Boulder, CO
Concentration in Systems & Networking; Dean's List 3 semesters