Amalia Hawkins
Software Engineer at Google
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAmalia Hawkins is a seasoned software engineer with 14 years of experience building high-performance C++ systems and backend infrastructure, currently contributing to Google Drive for Desktop. Her background includes deep database work at MongoDB—implementing encrypted storage engine features and contributing to PyMongo and MongoDB performance tooling—showing a strong blend of security, performance testing, and driver-level expertise. She has production experience in Go from adtech at Arbor and a track record of shipping across the stack from kernel-level server features to client synchronization code. A practiced open-source contributor, she has improved MongoDB’s performance tooling and Python driver internals, including URI parsing and maxTimeMS support. Beyond coding, Amalia has mentored and taught at the University of Pennsylvania, led internal hackathons, and presented at industry conferences, reflecting both technical depth and community engagement.
14 years of coding experience
4 years of employment as a software developer
Paul D. Schreiber Senior High SchoolBSE, Computer Science, BSE, Computer Science at University of Pennsylvania
Github Skills (15)
mongodb-driver10
mongodb10
python10
mongodb-database10
pymongo10
performance-testing10
devops9
bash9
uuid9
api8
javascript8
testing8
apidoc8
database-administration7
scons4
Programming languages (4)
Github contributions (5)
mongodb/mongo-perf
Mar 2014 - Apr 2014
performance tools for mongodb
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:14 commits in 21 days
Contributions summary:Amalia primarily focused on improving the performance testing framework for MongoDB. Their contributions include refactoring and renaming core test files, and modifying the benchrun scripts. They also integrated a daemon for automated performance testing and replaced a charting library. Additionally, they addressed command-line argument issues within the testing scripts and database operations.
performance-toolsperformancemongodb
mongodb/mongo-python-driver
Aug 2013 - Oct 2013
PyMongo - the Official MongoDB Python driver
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits in 2 months
Contributions summary:Amalia's contributions centered around enhancing the PyMongo driver, primarily focusing on URI parsing, and feature additions. They added support for read preference tags and uuidRepresentation, extending the driver's capabilities. They also addressed issues by implementing maxTimeMS functionality and modifying database interactions. Moreover, the user updated the documentation.
python-librarypython-driverpythonpython-mongodbmongodb-driver
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