Daniel Vianna

Melbourne, Victoria, Australia
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Summary

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Rockstar
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Daniel Vianna is a versatile engineer who turns tangled business workflows and legacy systems into testable, independently deployable services, with 11 years of experience spanning software, data, and platform engineering. He specialises in finding stable boundaries between product, pipelines, and operational concerns—reducing costs, improving observability, and accelerating feedback loops across cloud-native SaaS platforms. Notable wins include separating local-testable Spark models, introducing low-code ingestion via Airbyte on Kubernetes, and moving multi-tenant voice analytics from per-customer deployments to a row-level secure PostgreSQL architecture that cut cloud costs dramatically. Comfortable in Python, Scala/Spark, Haskell and frontend stacks, he bridges data-science implementations and production code by shipping APIs that preserve model behaviour. Based in Melbourne, his background in experimental neuroscience informs a methodical approach to noisy signals and stakeholder translation, turning messy constraints into repeatable, auditable systems.
code11 years of coding experience
job23 years of employment as a software developer
bookPontifical Catholic University of Rio de Janeiro
bookUniversity of São Paulo
languagesEnglish, Portuguese, Spanish, French
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Github Skills (200)

data-collection10
python10
operation10
pipeline10
postgresql10
appindicator10
csv-parser10
csv-import10
linux10
systray10
csv-export10
java10
csv-reader10
packaging10
mssql10

Programming languages (18)

JavaC++CRustPureScriptHTMLJupyter NotebookTypeScript

Github contributions (5)

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dmvianna/haskellbook

Feb 2016 - Oct 2016

Exercise solutions for haskellbook.com
Contributions:23 commits, 12 PRs, 230 pushes in 8 months
ghcexercise-solutionshaskellservanthackage
dmvianna/patents

Nov 2017 - Jan 2018

Contributions:36 commits, 54 pushes, 5 branches in 2 months
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Daniel Vianna