Raphael Da Costa
Tecnologista at National Institute for Space Research (INPE)
São Paulo, Brazil
Summary
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Rockstar🎓
Top SchoolRaphael Da Costa is a seasoned technologist with 11 years building geo-spatial and cloud-native systems, currently working at Brazil’s National Institute for Space Research (INPE). He has led engineering for the Brazil Data Cube initiative, delivering scalable GIS web applications and spatial data infrastructures using Python, PostgreSQL/PostGIS, and containerized Kubernetes deployments. Equally comfortable in DevOps, he architects CI/CD pipelines and infrastructure-as-code with GitLab CI, Ansible and Terraform, and operates monitoring stacks like Elastic/Grafana for Big Data workflows. His background includes C++ contributions to open-source GIS libraries and hands-on AWS experience (Lambda, Kinesis, RDS), reflecting a rare blend of low-level geospatial tooling and modern cloud operations. Based in São Paulo, he combines research-institute rigor with production-focused delivery, often bridging satellite imagery processing and developer-friendly APIs.
11 years of coding experience
11 years of employment as a software developer
Ensino Médio e Técnico em Informática, Informática, Ensino Médio e Técnico em Informática, Informática at EcompoAnálise e Desenvolvimento de Sistemas, Tecnologia da Informação, Análise e Desenvolvimento de Sistemas, Tecnologia da Informação at Faculdade de Tecnologia de São Paulo - FATEC-SP
Portuguese, English
Stackoverflow
26reputation
752reached
1answer
0questions
Github Skills (120)
datasets10
stac10
imagery10
earth-science10
satellite10
client-library10
catalog10
noaa10
landsat10
modis10
sentinel10
s3-bucket10
geoscience10
earth-observation10
celery10
Programming languages (10)
Github contributions (5)
brazil-data-cube/bdc-catalog
Nov 2019 - Dec 2022
Brazil Data Cube Image Metadata Catalog
Contributions:13 releases, 8 reviews, 163 commits in 3 years
cubegeospatialpythonimage-metadatametadata-management
brazil-data-cube/sample-db-utils
Mar 2020 - Aug 2022
Utilities for data loading into sample-db
Contributions:3 releases, 8 reviews, 10 PRs in 2 years 4 months
data-loadinggeospatialdatabaseland-use-land-cover
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