Alexander Goida

Data Architect

Sofia, Sofia-City, Bulgaria
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Summary

👤
Senior
🎓
Top School
Alexander Goida is a Data Architect and engineering leader with 11+ years of hands-on experience and a 15+ year trajectory in designing scalable backend systems and cloud data platforms, primarily on Google Cloud (BigQuery, Dataproc, Cloud Functions). He has a proven track record of cutting cloud costs (30% at First Sportsbook), improving BigQuery performance, and building fraud-detection and data-transmission systems that doubled analyst productivity. Equally comfortable in Python and .NET, he blends deep technical craft with team leadership—defining architectural standards, CI/CD automation, and process improvements that reduce technical debt and accelerate delivery. A lifelong maker with a master's in software systems, he pairs practical product focus with curiosity in AI and quantum computing, and outside work enjoys mountain skiing and karate.
code11 years of coding experience
job19 years of employment as a software developer
bookMaster of Science (MS) Software for computing complexes and computer-aided systems, Master of Science (MS) Software for computing complexes and computer-aided systems at Saint Petersburg State University of Aerospace and Instrumentation
languagesRussian, English
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Stackoverflow

Stats
334reputation
19kreached
8answers
23questions
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Github Skills (57)

google-api9
dotnet9
unit-testing9
xunit9
statsd9
googleapis9
complex-event-processing8
flagsmith8
docker-image8
dataflow7
asynchronous7
kafka7
google-cloud7
flowchart7
pipeline7

Programming languages (7)

C#TypeScriptPowerShellJavaShellJavaScriptPython

Github contributions (5)

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xtrmstep/dockers

Aug 2021 - Apr 2025

List of docker compose definitions for many applications
Contributions:2 PRs, 2 pushes, 3 branches in 3 years 8 months
docker-composedefinitionsdockercompose
xtrmstep/Bruteflow

Jul 2020 - Nov 2020

Simple asynchronous pipeline builder which supports well-known flowchart blocks (start, process, decision) and enhance them with additional blocks: distribute and batch. It also offers a basic blocks to build Kafka based pipelines.
Contributions:1 release, 37 commits, 12 PRs in 4 months
asynchronouskafkadataflowetlflowchart
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