Open To Work
Jordan Lee
San Francisco,CA
Summary
Senior Python Full-Stack Engineer with over 10 years of experience designing and delivering secure, scalable web applications and APIs. Expertise in Python (Django, FastAPI, Flask), React, and AWS with proven success modernizing monoliths into microservices, optimizing databases at scale, and automating infrastructure with CI/CD. Skilled at translating complex requirements into technical solutions, mentoring peers, and aligning delivery with business outcomes.
Overview
12
12
years of professional experience
Work History
Senior Python Engineer
EY Technology Solutions
San Francisco, CA
11.2022 - 06.2025
- Inherited a monolithic Django service causing compliance reporting delays and decomposed it into FastAPI microservices with JWT auth on AWS EKS, enabling targeted scaling of validation workloads.
- Redesigned reporting pipelines with PostgreSQL partitioning and optimized indexes, reducing report generation from minutes to seconds and enabling automated archival cleanup.
- Built Terraform-managed infrastructure and GitLab CI/CD pipelines with schema migration steps and canary rollout, lowering release rollback risk under compliance deadlines.
- Implemented Prometheus and Grafana dashboards tracking queue backlog, error rates, and SLA metrics, enabling proactive resolution of spikes before SLA violations.
- Integrated S3 pre-signed URLs for large uploads, keeping web requests responsive during file-heavy workflows.
- Designed blue/green deployment strategies for critical services, reducing downtime during compliance updates.
Full Stack Python Engineer
Slalom
San Diego, CA
10.2019 - 08.2022
- Built a Flask API for an inventory system that processed thousands of SKU updates per minute with Redis caching and batch-write pipelines into PostgreSQL.
- Developed a React.js dashboard with live KPI charts powered by WebSocket feeds from Celery tasks, giving supply chain managers real-time operational visibility.
- Engineered a Stripe integration where webhook events triggered fulfillment workflows with idempotent endpoints and reconciliation logic for financial accuracy.
- Automated deployments with GitHub Actions and AWS Lambda for recurring reporting jobs, accelerating release cycles and reducing manual intervention.
- Implemented OAuth2 and JWT access control for healthcare APIs, ensuring compliance with PHI security requirements.
- Applied PostgreSQL query plan analysis and index tuning to resolve bottlenecks in logistics platforms, improving transaction speed under heavy load.
Python Backend Developer
Mercer
Los Angeles, CA
08.2015 - 07.2019
- Engineered backend services for HR analytics that processed data for over 1M employee benefit records.
- Redesigned schemas with PostgreSQL partitioning and added materialized views, enabling efficient month-over-month trend reporting.
- Optimized long-running queries with indexes and rewrites, reducing analyst reporting time from minutes to seconds.
- Introduced Dockerized environments for local development and QA, ensuring consistency and cutting onboarding time for new engineers.
- Automated ETL workflows with Celery and scheduled jobs, stabilizing pipelines feeding analytics dashboards and external APIs.
Python Developer
AlixPartners
San Francisco, CA
09.2013 - 06.2015
- Built Python utilities with pandas to transform and normalize large Excel-based financial datasets into PostgreSQL, halving consultant prep time.
- Optimized financial reporting queries with multi-column indexes and VACUUM tuning, reducing report generation from three minutes to under one minute.
- Developed internal workflow tools with Python and jQuery, automating document preparation and saving consultants hours each week.
- Piloted Docker adoption for local consistency, enabling consulting teams to replicate client environments quickly under tight restructuring timelines.
Education
B.S. - Computer Science
University of California
05.2013
Skills
- Python
- Django
- FastAPI
- Flask
- JavaScript
- Reactjs
- Vuejs
- PostgreSQL
- MySQL
- Redis
- Docker
- Kubernetes
- AWS
- Lambda
- EKS
- RDS
- S3
- Terraform
- GitLab CI/CD
- GitHub Actions
- OAuth20
- JWT
- Celery
- PyTest
- Pandas
- Prometheus
- Grafana
- Datadog
Accomplishments
- Refactored monolithic applications into modular FastAPI microservices on Kubernetes, improving scalability, stability during peak loads, and deployment agility.
- Optimized PostgreSQL at scale with partitioning, indexing, and materialized views, cutting reporting workloads from minutes to seconds on multi-million record datasets.
- Implemented CI/CD pipelines, Terraform-managed infrastructure, and blue/green deployments, reducing release risk and accelerating delivery in compliance-driven environments.
Personal Information
Title: Senior Python Engineer | Full Stack Developer | API Architecture
Certification
https://courses.edx.org/certificates/ed728182482948998a0fe9cfadaf1707?trk=public_profile_see-credential
https://courses.edx.org/certificates/ed728182482948998a0fe9cfadaf1707?trk=public_profile_see-credential
https://www.hackerrank.com/certificates/iframe/ab0d8300b24f
https://www.hackerrank.com/certificates/iframe/8769bcf8abc9
https://www.hackerrank.com/certificates/iframe/f8424ea30413
https://www.coursera.org/account/accomplishments/verify/JMYLC6YJFRGF
Work Availability
monday
tuesday
wednesday
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friday
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Timeline
Senior Python Engineer
EY Technology Solutions
11.2022 - 06.2025
Full Stack Python Engineer
Slalom
10.2019 - 08.2022
Python Backend Developer
Mercer
08.2015 - 07.2019
Python Developer
AlixPartners
09.2013 - 06.2015
B.S. - Computer Science
University of California
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