Connor Kuhn
801-884-8273 | connor.kuhn@kuhnclan.com | https://linkedin.com/in/connorkuhn
About
Experienced Software Engineer with a history of working in FinTech. Skilled in Java, Python, Kubernetes, and CI/CD.
Education
BS Computer Science, Fall 2015 - Fall 2019, University of Utah, Salt Lake City, UT
Experience
Software Engineer, Finicity, Murray, UT | Dec 2016 - Present
- Lead a team of interns to support additional account features across a large
range of Finicity’s supported institutions, in a custom scripting language.
- Implemented features and fixed bugs in nearly all of Finicity’s Java based code
bases (several of which use Spring), along with engineering new solutions for
new problems.
- Implemented a reliable and profitable data delivery pipeline using AWS (Data
Pipeline, Redshift, S3) to extract data, redact PII, transform, and deliver it to the
customer.
- Engineered many one-off and periodic processes to deliver key data to
stakeholders rapidly and efficiently, using a wide variety of technologies (Java, Python,
Mongo, SQL, Shell Scripting, etc). Many of these tasks included redact PII from
data so that it was safe for analysis/sharing.
- Created key Proof-of-Concepts rapidly, utilizing a reusable React, Typescript, Kotlin framework,
to ensure stakeholder buyoff for new products.
Software Development Intern, Finicity, Murray, UT | April 2015 - Dec 2016
- Designed, developed and supported an internal app to solve a 10+ year old
problem.
- Developed and supported various Java apps including one to translate from the
Finicity API spec to an existing API spec to support new customers, and a
sample application for Finicity’s API.
- Designed and implemented a system for continuously monitoring the uptime of
Finicity’s data aggregation process using New Relic.
Skills
- Problem Solving, Rapid Learning, Debugging
- Java, Kotlin, Python, Typescript, SQL
- Spring Boot/Framework, React, Flask, Express
- Kubernetes, Docker, Gitlab CI/CD, AWS (EC2, S3, IAM, Lambda, etc),