Bruno Grande
Data Engineer
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolBruno Grande is a data engineer with 11 years of experience who blends a PhD-trained scientific mindset with pragmatic software engineering to build reproducible, user-focused data tools and pipelines. He has shepherded large-scale genomics projects, productionized data orchestration for research platforms, and trained deep-learning models for lab imaging, always emphasizing reproducibility and accessible workflows. Based in Seattle, he’s implemented cross-team infrastructure—Airflow-friendly Python packages, CloudFormation CI/CD, and Synapse-backed filesystem abstractions—that reduce friction for scientists and engineers alike. Colleagues describe his approach as “optimistic, thoughtful proactiveness,” reflected in concrete outcomes like repository templates, CodeOcean capsules, and a Streamlit dashboard for lab instruments. Outside work he champions open science as a trainer in The Carpentries and the Tidyverse, and captures nature through wildlife photography, signaling a curiosity that feeds both his technical creativity and user-centered design.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.Sc.) Biochemistry (Honours), Bachelor of Science (B.Sc.) Biochemistry (Honours) at McGill UniversityInternational Baccalaureate Diploma Natural Sciences, International Baccalaureate Diploma Natural Sciences at Vanier CollegeDoctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at Simon Fraser University
English, French
Stackoverflow
151reputation
20kreached
0answers
5questions
Github Skills (200)
slurm10
metadata10
structural-variation10
knitr10
immunology10
schema10
reproducible-science10
singularity10
tar10
stable10
aws-organizations10
loops10
nf-core10
r10
pipeline10
Programming languages (24)
Github contributions (5)
Sage-Bionetworks-Workflows/sarek
Feb 2021 - Apr 2023
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
Contributions:1 review, 6 PRs, 28 pushes in 2 years 1 month
callingbioinformaticsannotationpipelineconda
Sage-Bionetworks-Workflows/sagetasks
Jun 2022 - Jan 2023
Python library for building ETL pipelines involving Synapse and data processing workflows
Contributions:8 releases, 18 reviews, 100 commits in 7 months
python-librarypythondata-processingetl-frameworkdata-engineering
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