Jenny Palomino

Data Engineer

United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Jenny Palomino is a data engineer and environmental data scientist with a Ph.D. from UC Berkeley and 11 years of experience applying quantitative methods to earth science problems. She combines Python, R, SQL (Postgres, MS SQL Server, Oracle), and geospatial tools like PostGIS, GDAL, QGIS and ArcGIS to build reproducible geospatial data pipelines and analyses. As an editor and package reviewer for pyOpenSci, she champions open, peer-reviewed scientific Python tooling and reproducible research practices. Her GitHub contributions include refining BigQuery information_schema queries in Google's widely used training-data-analyst repo, reflecting expertise in cloud data exploration and metadata-driven analysis. Jenny also develops technical curriculum and data engineering content, bridging research-grade methods and practical, teachable workflows. She brings a researcher’s rigor to production data engineering, making complex environmental data accessible and auditable.
code11 years of coding experience
bookDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of California, Berkeley
bookBA, BA at The University of Texas at Austin
bookMS, MS at University of North Texas
stackoverflow-logo

Stackoverflow

Stats
1reputation
0reached
0answers
0questions
github-logo-circle

Github Skills (3)

sql10
bigquery10
data-analysis9

Programming languages (9)

DockerfileRCSSShellJavaScriptHTMLJupyter NotebookLookML

Github contributions (5)

github-logo-circle
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
userData Engineer
Contributions:5 reviews, 7 commits, 78 PRs in 1 day
Contributions summary:Jenny primarily focused on updating SQL queries related to the `information_schema` in the context of BigQuery. The commits involve modifications to example queries to extract and analyze dataset metadata, including table sizes, column counts, and partitioning information. These changes suggest the user was involved in demonstrating and refining SQL queries for data exploration and understanding within a BigQuery environment.
gcpgoogle-cloud-platformgoogle-cloudtraining
jlpalomino/earthpy

Nov 2018 - Oct 2019

A package built to support python teaching
Contributions:43 PRs, 56 pushes, 1 branch in 11 months
teachinggoogle-earth-enginepythonearth-engine
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Jenny Palomino - Data Engineer