Gabriel Albino
Data Engineer
Brasília, Federal District, Brazil
Summary
👤
Senior🎓
Top SchoolGabriel Albino is a data engineer with eight years of experience building scalable, cloud-native data platforms and optimizing ETL at enterprise scale. He has led high-impact migrations—most notably moving large workloads from Azure Synapse to Databricks—cutting processing time by 60%, improving query performance, and reducing cloud spend while unifying engineering and data science workflows. Comfortable across AWS, GCP, and Azure, Gabriel blends Spark, Python, Airflow, Terraform and CI/CD best practices to deliver reliable, governed pipelines with Delta Lake and automated validation. He has strong DevOps chops from real-time audio analytics and infrastructure automation roles, and a track record of standardizing multi-source terabytes into query-ready schemas. Based in Brasília, he pairs a pragmatic, proactive problem-solving style with a passion for readable, efficient code and knowledge sharing across international remote teams.
8 years of coding experience
6 years of employment as a software developer
Bacharelado, Computer Science, Bacharelado, Computer Science at Universidade Federal de Santa CatarinaBacharelado, Computer Science, Bacharelado, Computer Science at Universität Wien
Github Skills (32)
electrophysiology10
nis10
que10
computational-neuroscience9
kubernetes9
neuroimaging9
neuroscience9
python8
nodejs7
rio7
react7
ranking6
javascript6
pax6
swiftui5
Programming languages (15)
Github contributions (5)
parlamentaqui/etl_camara
Mar 2021 - May 2021
Contributions:10 reviews, 33 PRs, 34 pushes in 2 months
gabrielalbino/Data-Structure-Speel-Check-Benchmarking
Nov 2017 - Mar 2022
Contributions:8 pushes, 2 branches in 4 years 4 months
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