
About Me
My name is Jon Johnson. I'm a cat father, developer, and complete and utter nutcase. I spent roughly 10 years working in music, mostly in and around music publishing, before moving into software development back in 2018. Now I work as a software engineer in the media space. In my freetime, I love working on different ways to express myself creatively through software or other technology.
Resume/CV
JON JOHNSON
GitHub: www.github.com/jonjohnsontc | LinkedIn: www.linkedin.com/in/jonjohnsontc
CORE COMPETENCIES
AWS, Python, Clojure(script), PostgreSQL, Javascript, Docker, Spark, Git, Agile, Jira
PROFESSIONAL EXPERIENCE
Nielsen, Hollywood, CA
2019 - Present
Software Engineer
- Full stack contributor on single page web application designed to serve predictions to clients in real-time
- Build microservice to gather features based on user input and serve predictions to users of the web application
- Build out web UI using Reagent (a clojurescript wrapper of React), based on renders provided by UX team
- Migrate Continuous Integration (CI) infrastructure from Jenkins to GitLab
- Help build REST API to allow microservices to communicate with another, and users to communicate with the backend
- Manage deployments through Kubernetes’ kubectl
Nielsen, Hollywood, CA
2018 - 2019
Senior Product Analyst
- Built and maintained a dashboard designed to serve detailed viewership data to clients
- Helped build out robust ETL pipelines, primarily utilizing Spark.
- Conducted market share analysis of record label recordings in Spark, utilizing cosine similarity to match tracks between provider data.
- Constructed a web scraper using AWS Lambda to concurrently scrape thousands of webpages at any given time.
- Presented coding work & new technologies to co-workers through “coding club” discussions & AWS working group.
General Assembly, Los Angeles, CA
2018
Remote Instruction Assistant - Python Course
- Helped teach relative coding newcomers the basics of Python in a 40hr PT course. The curriculum included basic object-oriented concepts (classes, state, objects, etc), as well as data analysis using the Scipy stack (primarily NumPy and Pandas).
- Assisted students by answering questions during class on Slack and providing guidance on the course’s final project.