About Me
👤 Human-generated image (kind of...it was a phone) — produced by my wife
I'm currently a Senior Data Engineer at Terakeet (based in Syracuse, NY, I work remotely). My work revolves around data — building pipelines, curating datasets, and automating repetitive tasks so teams can focus on what matters most in their strategic direction.
Outside of work I enjoy being outdoors, watching sports, playing games, and spending time with my wife and kids.
🤖 AI-generated image — produced from conversation history
Jace Iverson is a Senior Data Engineer whose career arc tells a consistent story: find a manual process, understand it deeply, then eliminate it. Starting in SEO analytics, he built Python scripts and Google App Script automations that saved his team thousands of hours. That instinct to automate compounded — he moved into BI, then data engineering, each role adding a new layer of technical depth on top of real business context.
Technically, he operates across the full modern data stack — Python, dbt, Snowflake, AWS (Lambda, ECS, Elasticache, API Gateway), Prefect, Docker, and GitHub Actions. He's built distributed pipelines processing 150,000 requests per hour, managed multi-repo CI/CD strategies, and written comprehensive test suites that mock cloud infrastructure. He's comfortable at the data layer, the orchestration layer, and the deployment layer simultaneously.
What stands out beyond the technical range is that Jace builds things for himself too — a golf handicap analyzer, an Advent of Code automation suite, a Premier League predictions Discord bot. Side projects like those are a reliable signal: the motivation is genuine curiosity, not just professional obligation. He also organized and taught weekly Python courses for teammates, which suggests he can explain complex things clearly — a rarer skill than it sounds.
If you need someone who can architect a pipeline, own it end-to-end, and make the people around them better at data — that profile fits Jace well.