Conrado Gomes
Software Platform Manager And Chief Architect
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolConrado Quilles Gomes is a seasoned software platform manager and chief architect with 11+ years driving cloud-native transformation and platform strategy at TOTVS, where he built multidisciplinary architecture and SRE teams and helped migrate thousands of services across multi-cloud clusters. He blends deep hands-on expertise in full-stack development, SRE, DevOps and observability (Prometheus, Kubernetes, Azure DevOps) with a strong record of governance—authoring 20+ RFCs and 800+ pages of architecture documentation to align ~200 engineers. Conrado’s career progressed from hands-on engineering and product leadership to orchestrating large-scale platform rollouts, earning company-wide recognition including an ILP award granted to the top 3% of employees. He contributes to open-source data-quality tooling (ydata-profiling) improving correlation logic and tests, reflecting his attention to correctness and user experience beyond infrastructure. Known for connecting people and translating business processes into scalable technical solutions, he mixes R&D curiosity with practical delivery and still spends free time studying emerging tech. Based in São Paulo, he pairs enterprise-scale impact with a tinkerer’s approach to side projects like React/Node stacks, penetration testing and Kubernetes deep-dives.
11 years of coding experience
13 years of employment as a software developer
Bachelor’s Degree, Information System, Bachelor’s Degree, Information System at Faculdade Impacta de Tecnologia
Portuguese, English
Github Skills (10)
pandas10
statistics10
exploratory-data-analysis10
python10
data-science10
data-profiling10
eda10
data-analysis10
jupyter-notebook9
machine-learning7
Programming languages (9)
Github contributions (5)
ydataai/ydata-profiling
Dec 2017 - Jan 2018
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Role in this project:
Data Scientist
Data ScientistContributions:10 commits, 6 PRs, 14 pushes in 7 days
Contributions summary:Conrado primarily contributed to improving the codebase related to data profiling and exploratory data analysis. Their work includes addressing potential errors in correlation calculations, optimizing the handling of boolean variables, and improving the overall user experience through additions like variable anchors and a correlation matrix. They also added a mixed data type example to the documentation and improved the test suite.
pythonjupyter-notebookpandas-profilingbig-data-analyticsstatistics
conradoqg/meajudafi-front-end
Sep 2018 - Jun 2022
Front-end of the meajudafi stack
Contributions:140 pushes, 3 branches in 3 years 9 months
front-endreactnextjs
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