Cody Hanson
Engineering Manager at PicnicHealth
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolCody Hanson is an engineering manager in Chicago with a decade of experience building reliable, production-grade data and AI systems. He has led teams through strategic pivots to AI-first platforms, shipped backend and infrastructure features (FastAPI, Kubernetes, AWS Bedrock), and guided SOC2 Type 2 compliance while maintaining hands-on code contributions. Cody’s background blends data engineering and platform work—replatforming analytics, operating ETL at scale with Meltano and Airflow, and provisioning customer data warehouses—so he moves comfortably between product, infra, and customer-facing technical work. He’s an active contributor to the Meltano codebase, improving configurability and CLI ergonomics, and has a knack for turning prototype AI agents into deployed analytics features. Trained in computer science and linguistics at the University of Chicago, he pairs technical depth with a user-centered approach to building trustworthy LLM systems.
10 years of coding experience
11 years of employment as a software developer
High School, High School at Tri-City High SchoolBachelor of Science, Computer Science, Linguistics, Bachelor of Science, Computer Science, Linguistics at University of Chicago
Stackoverflow
136reputation
12kreached
2answers
0questions
Github Skills (13)
project-configuration10
command-line-interface10
python10
command-line10
cli10
pytest9
data-engineering9
dataops8
data-pipeline8
data-pipelines8
sql6
airflow6
postgresql6
Programming languages (4)
Github contributions (5)
meltano/meltano
Mar 2022 - Jan 2023
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:104 reviews, 66 commits, 94 PRs in 9 months
Contributions summary:Cody primarily focused on enhancing the Meltano codebase, particularly concerning project configuration and environment handling. They added support for naming default environments in `meltano.yml`, allowing for more flexible project setup. The user also implemented command-line interface modifications and wrote associated tests to ensure correct environment activation. This work improved the usability and configurability of the Meltano project.
pythondataloadersdbtdataops-platform
cjohnhanson/schematic
May 2019 - May 2020
Utilities for transforming data among different data warehousing solutions.
Contributions:10 commits, 3 PRs, 24 pushes in 1 year
pythondatadata-warehousingdata-sciencemachine-learning
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