Rob Moore
Senior Software Engineer at Scalable Solutions
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolRob Moore is a Senior Software Engineer with 11 years of hands-on experience building scalable data and backend systems, now working at PayPal and running a consultancy focused on testing and Scala scalability. He is a multi-language developer (Scala, Python, Rust, Go, TypeScript) with strong DevOps skills (AWS, Terraform, Docker) and a track record of designing, deploying and operating production services. As a committer on Apache Superset he has contributed backend fixes and features to a widely used open-source data visualization platform, improving temporal handling, query efficiency and CSV upload behavior. Rob moves quickly from onboarding to delivery, thrives on complex technical challenges, and often combines deep backend engineering with pragmatic product collaboration. His background in biochemistry and frequent shifts between consulting and product roles give him an unusual mix of analytical rigor and adaptable delivery experience.
11 years of coding experience
11 years of employment as a software developer
International Baccalaureate, International Baccalaureate at Dartford Grammar SchoolBiochemistry BSC (Hons), Biochemistry, Biochemistry BSC (Hons), Biochemistry at King's College London
English, German
Github Skills (15)
apache-superset10
sqlalchemy10
presto10
sql10
back-end-development10
python10
flask10
flask-ask10
database9
data-engineering9
databases9
data-visualisation8
data-visualization8
data-visualizations8
react7
Programming languages (15)
Github contributions (5)
apache/superset
Apr 2023 - Feb 2025
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:101 reviews, 17 PRs, 1 push in 1 year 9 months
Contributions summary:Rob primarily contributed to the back-end functionality of the Apache Superset data visualization platform. Their work involved fixing bugs related to data handling, particularly concerning temporal columns in the Presto database and SQL Lab. They also focused on code optimization, such as improving the efficiency of SqlaTable queries. Additionally, the user implemented new features, including configurable file size limits for CSV uploads and dynamic query limit options in SQL Lab.
pythonapache-supersetflaskbusiness-analyticsbusiness-intelligence
giftig/flippy
Nov 2015 - Jul 2018
Contributions:4 releases, 134 commits, 129 pushes in 2 years 8 months
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