Daniela Petruzalek is a Senior Developer Relations Engineer and seasoned data/back-end specialist with over a decade of experience building and guiding production data platforms across finance and cloud-native companies. Recognised as a Google Developer Expert in Go and GCP and a Google Cloud Certified Data Engineer, she combines hands-on engineering (Go, Python, BigQuery, Spark) with developer advocacy—contributing to high-profile GoogleCloudPlatform Go samples and creating playful open-source projects like a Pac-Man clone. She has led cross-functional teams and shaped data architecture at firms including JPMorgan, ThoughtWorks and GoCardless, and now amplifies developer success at Google in London. A TEDx speaker and guest lecturer at Oxford, Daniela mixes technical depth with public-facing communication, and—less obviously—rewires complex systems with a playful curiosity (she builds video games and pets random street cats).
10 years of coding experience
13 years of employment as a software developer
Professional Degree Information Technology, Professional Degree Information Technology at Centro Universitário Claretiano
Contributions:5 reviews, 67 commits, 35 PRs in 3 years 3 months
Contributions summary:Daniela primarily contributed to the development of a Pac-Man clone in Go. Their work involved implementing the game logic incrementally, starting with basic initialization and maze loading. They added features such as user input handling and screen updates, culminating in a functional, albeit basic, playable game. Later commits included the addition of ghosts and dot-based scoring, with final commits adding configuration and emoji support.
Sample apps and code written for Google Cloud in the Go programming language.
Role in this project:
Back-end Developer
Contributions:10 commits, 10 PRs, 9 pushes in 11 months
Contributions summary:Daniela primarily focused on improving the Google Cloud Vision and Speech samples written in Go. They fixed bugs, updated samples to match generated code, and added enhancements such as adding scores to web detection outputs. Additionally, the user added and reorganized documentation to existing speech examples by adding and moving audio files to test data directories. These contributions highlight the user's focus on enhancing existing code and improving usability within the Google Cloud ecosystem.
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