Luis Dias
Data Platform Engineer
Asuncion, Distrito Capital de Paraguay
Summary
👤
Senior🎓
Top SchoolLuis Dias is a Senior Data Platform Engineer and entrepreneur from Asunción with a decade of experience designing cloud-native data platforms and production-grade pipelines on AWS. At Plub he architects lakehouse solutions, ingestion frameworks, governance, and CI/CD automation that power both operational and analytical workloads at scale. As Co-Founder and Technical Lead at HappyStep Labs he combines full-stack delivery with product strategy, infrastructure design, and company operations to rapidly take ideas to market. His background spans applied ML/NLP research at Kansas State and hands-on backend work in fintech and KYC domains, giving him a rare mix of research rigor and production engineering. He is particularly focused on bringing software engineering discipline to data infra — from metadata standards and IAM to cost-optimized observability — enabling platforms to serve millions of events reliably. Fluent in end-to-end technical leadership, he often bridges gaps between platform teams, product owners, and business strategy to turn complex requirements into maintainable infrastructure.
10 years of coding experience
8 years of employment as a software developer
Postgraduate Degree Pedagogical Training in Innovative Methodologies for Higher Education, Postgraduate Degree Pedagogical Training in Innovative Methodologies for Higher Education at UCOM - Universidad ComuneraMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Kansas State University
English, Spanish, Portuguese
Github Skills (20)
user-modeling8
data-files8
machine-learning-algorithms6
python6
science5
machine-learning5
data-science4
data-visualization4
data-analysis4
neo4j3
reinforcement-learning3
predictive-analytics3
artificial-intelligence3
hpc2
graph2
Programming languages (2)
Github contributions (5)
happystep/happystep.github.io
Aug 2016 - Mar 2025
Contributions:261 pushes, 3 branches in 8 years 8 months
happystep/HPC_Analytics
Sep 2019 - Mar 2020
Python and Neo4J used to create a property graph database for ML algorithms - MS Thesis
Contributions:25 commits, 77 pushes in 6 months
decision-supportpythonpredictive-analyticsreinforcement-learningmachine-learning
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