Cody Hanson
Head of Engineering @ Arch.dev
Software engineer focused on architecting and building scalable cloud-based systems for data science and analytics.
Experience
Head of Engineering
Arch
October 2024 - Present
Leading engineering team through pivot to become an AI-first data platform.
- •Led engineering team through pivot to become an AI-first data platform
- •Prototyped initial AI features incorporating LangGraph into the stack
- •Utilized AWS Bedrock to build autonomous agents for data infrastructure management
- •Built and productionized an AI Analyst agent with Cubejs semantic layer for data visualization using Vega-Lite
- •Oversaw organizational change management and adoption of LLM-powered development tools
- •Increased team velocity while maintaining existing headcount of 6 engineers
- •Expanded external-facing role, guided customer PoVs and high-touch onboarding
- •Helped grow the company to first six figures in ARR while maintaining team health
Engineering Manager
Arch
September 2023 - October 2024
Led the team in architecture and development of the new Arch platform.
- •Led architecture and development of new Arch platform with FastAPI backend and NextJS + Tailwind + Shadcn frontend
- •Contributed to comprehensive authentication and access control using Ory Hydra and Spicedb
- •Contributed infrastructure for running Meltano pipelines and dbt jobs on Kubernetes
- •Engineered PostgreSQL-based customer data warehouse provisioning and management system
- •Successfully led the company's SOC2 Type 2 compliance certification process
- •Maintained significant code contributions while managing engineering team
- •Participated directly in sales and customer success as technical expert
- •Drove product and technical roadmap based on customer interactions
Senior Software Engineer
Arch
March 2022 - September 2023
Primary contributor to the Meltano open source data integration platform.
- •Served as primary contributor to the Meltano open source data integration platform and Singer SDK
- •Built the initial Meltano Cloud platform using FastAPI, NextJS, and Pulumi
- •Implemented infrastructure on AWS leveraging Lambda, API Gateway, EventBridge, Cognito, RDS
- •Set up comprehensive monitoring with DataDog for observability of customer data pipelines
- •Designed and implemented distributed ETL orchestration system for processing customer workloads
- •Contributed to architecture decisions for scalability and reliability of the platform
Senior Data Engineer
Sprout Social, Inc.
March 2020 - March 2022
Led data infrastructure initiatives and drove adoption of modern data tools.
- •Led project to replatform data from Redshift to Redshift Spectrum to decouple storage from compute
- •Drove adoption of Meltano to standardize ETL pipelines and leverage singer taps
- •Built and maintained data pipelines in Airflow and PySpark processing large volumes of social media data
- •Maintained and contributed to a Java HTTP API that powered the user behavior tracking system
Senior Data Engineer
Arrive
August 2019 - March 2020
Managed data engineering roadmap and team development.
- •Managed data engineering roadmap and prioritization
- •Mentored junior data engineers and analysts
- •Led requirements gathering and project planning with stakeholders
- •Architected company's data infrastructure
- •Designed and implemented practices and processes for code review, testing, and deployment
DataOps Engineer
Arrive
April 2018 - August 2019
Built and maintained data infrastructure and self-service analytics platform.
- •Built and maintained over three dozen ETL pipelines running primarily in Apache Airflow
- •Architected and maintained data infrastructure in Amazon S3 and Redshift
- •Acted as sole developer for self-service data portal with Flask API backend and React+Redux frontend
- •Engineered automated testing and deploy pipelines for analytics projects using Drone and Jenkins
- •Created automated monitoring and alerting tools with AWS Lambda, Cloudwatch, integrated with OpsGenie
Systems Engineer
PEAK6 Investments
July 2017 - April 2018
Developed automation for infrastructure and built ETL tools.
- •Developed automation for configuration management and provisioning of virtualization and private cloud infrastructure
- •Built automated ETL tools in Python using Pandas and multiprocessing
- •Created tooling for monitoring and reporting of business-critical systems
Education
Bachelor of Science in Computer Science, Linguistics
The University of Chicago
2013 - 2017
Dean's List, Odyssey Scholar, National Merit Scholar