Adnan Hemani
Senior Software Engineer at Snowflake
California, United States
Summary
🤩
Rockstar🎓
Top SchoolAdnan Hemani is a Senior Software Engineer with a decade of experience building data-intensive systems and open source tools, currently contributing to Snowflake's Data Lake efforts. He has led cross-functional teams at AWS EMR, shipping fine-grained access control integrations for Spark, Trino, and Hive that supported major product launches and high-revenue customers. Prior roles at Atlassian and Apple showcase his blend of backend engineering, data pipelines, and product-focused feature work, while his UC Berkeley teaching and tutoring background highlights a passion for education and mentorship. An active open-source contributor, he improved core table operations and test coverage for the popular datascience Python library used in introductory courses. Colleagues describe him as a pragmatic technical leader who bridges distributed systems, security, and data engineering with a knack for production-grade, efficient implementations. Based in California, he pairs hands-on coding with a history of delivering customer-requested features that materially moved business outcomes.
10 years of coding experience
8 years of employment as a software developer
B.A. in Computer Science; B.A. in Data Science (Emphasis: Business Analytics), B.A. in Computer Science; B.A. in Data Science (Emphasis: Business Analytics) at University of California, BerkeleyHigh School, High School at Westwood High School
Urdu, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
python10
numpy10
testing9
data-structures8
data-science8
data-structure8
Programming languages (7)
Github contributions (5)
data-8/datascience
Jan 2017 - Jan 2023
A Python library for introductory data science
Role in this project:
Data Scientist
Data ScientistContributions:107 reviews, 300 commits, 136 PRs in 6 years
Contributions summary:Adnan contributed to the introductory data science Python library, datascience. Their work primarily focused on implementing and refining table functionalities, including adding, removing, and relabeling columns and rows, as well as implementing functionalities such as first, last, and shuffle. The user also introduced changes to improve the efficiency and functionality of the library, particularly within the table splitting methods. The user also implemented test cases for the functionalities.
python-librarydata-analysispythonsciencedataframes
ace-lab/planning-poker
Jul 2018 - May 2019
Planning Poker is a Rails application for Story Estimation with Pivotal Tracker. It uses push notifications (Faye), Bootstrap and Font-Awesome.
Contributions:22 PRs, 65 pushes, 18 branches in 10 months
ruby-on-railspushtrackerrailsrails-application
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