Summary
Integrative and detail-oriented engineer with a demonstrated ability to learn new technologies, frameworks, and programming languages quickly. Seeking a challenging role where I can leverage my knowledge of data system design, ETL, and computer networking to build awesome infrastructure. Committed to delivering high-quality code, driving automation, and collaborating effectively. Currently living in the Linux CLI!
Skills
Programming Languages
- Python (pandas, matplotlib, etc.)
- SQL (MySQL, SQLite, Presto, etc.)
- JavaScript (D3.js)
- Java
Data Engineering
- ETL and Data Pipelines
- AWS, Redshift, Snowflake
- MapReduce
- Stream Processing
Tools
- Apache Airflow, Dataswarm
- Apache Kafka, Scribe
- Linux (Debian-based and RHEL distros)
- Git/Mercurial
Work Experience
JPMorgan Chase - Senior Associate, Analytics Solutions
January 2024 - Present
- - Designed data models to enhance efficiency and enable rapid access to insights
- - Developed proof-of-concept frameworks to support product and reporting teams in full-scale data solutions
- - Integrated internal and third-party data to support key initiatives and enhance executive reporting
- - Led the transition of 5 analysts from Hadoop to AWS, optimized data architecture and tooling
- - Managed time-sensitive data requests that drove critical business decisions through actionable insights
Meta - Senior Data Analyst
January 2020 - July 2023
- - Built ETL pipelines and dashboards that addressed complex data integration challenges for 30+ teams
- - Optimized systems by analyzing logs, identifying error patterns, and resolving long standing issues
- - Collaborated with engineering teams to develop tools that improved machine learning workflows
- - Maintained critical systems used across Product Operations for analysis of terabyte scale data
- - Trained and deployed machine learning models for text classification, maintaining accuracy above 70%
- - Engineered asynchronous and parallel systems to accelerate I/O-bound tasks for network filesystems
- - Created custom tools for product teams to monitor metrics and generate anomaly alerts
- - Assisted non-technical partners in efficiently labeling data using regex for alternative classification solutions
- - Trained new hires on leveraging Facebookâs infrastructure to streamline data analysis
Gibson, Dunn, & Crutcher - Financial Systems Analyst
June 2018 - December 2019
- - Developed custom analytics dashboards to modernize how firm management consumes information
- - Presented new methods to grade attorney performance and predict revenue using linear regression
- - Created SSRS reports to streamline complex and repetitive workflows across departments
- - Automated Excel report email distributions to 500+ partners and high-profile clients
Education
University of California, Berkeley
B.A. Economics, 2017
Notable Coursework
- - Structure of Computer Programs
- - Statistics and Probability
- - Financial Economics
- - Computational Data Analysis
- - Econometrics
- - Behavioral Finance
Interests
I love taking things apart and learning how they work. I'm always working on a computer or car related project at any given time.
I currently manage a network of Raspberry Pi's that run various services for me (I got really into self-hosting a few years ago) and I'm a total gearhead. I like computers, cars, personal finance, golfing, and the outdoors - I recently started rowing crew at the lake near my apartment.