Top expert inData Engineering and Analytics Technologies
Evan Rusackas is a front-end engineering leader and UI/UX designer with 11 years of experience, currently shaping Apache Superset as a PMC member while managing global engineering teams at Preset. He blends hands-on front-end craftsmanship—CSS-first dataviz and interactive UI work in the widely used Apache Superset project—with product design instincts developed building early SaaS iterations at Preset. Known for turning outlandish concepts into production-ready features, Evan bridges design, development, and team health to deliver polished, usable analytics experiences. Based in Portland, he brings a maker’s curiosity (and a bassist’s patience) to open source, shipping thoughtful UI fixes and visualization formatting improvements that directly improve data exploration at scale.
11 years of coding experience
8 years of employment as a software developer
BS Telecommunications Multimedia and Applied Computing, BS Telecommunications Multimedia and Applied Computing at California State University, Monterey Bay
Computer Science, Computer Science at California State University-San Bernardino
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:
Front-end Developer
Contributions:2 releases, 3176 reviews, 361 commits in 3 years 8 months
Contributions summary:Evan primarily focused on front-end development within the Apache Superset project, making several contributions related to user interface elements. The user addressed issues related to UI components, such as SQL Lab Query Search scrolling, adding spacing in code, and creating interactive elements like clickable checkbox labels. They also contributed CSS modifications to improve the visual style of the application.
Contributions:97 reviews, 57 commits, 97 PRs in 1 year 11 months
Contributions summary:Evan primarily contributed to the UI of the Apache Superset project. Their work focused on fixing bugs related to tooltip overflow and incorrect string handling in chart components. The user also implemented the D3 format from metrics in various visualization components like BigNumber and Sunburst charts, improving the display of formatted data. Furthermore, they updated UI components to use the Emotion styling library.
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