# Jenna Wei

> Software Engineer at Google

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/jenna

A lifelong learner with a hope that someday she can leverage her skills for making the world a better place, one day at a time.

## Work Experience
### Software Engineer @ YouTube
Jan 2021 – Present

### Software Engineer @ Google
Jan 2021 – Present | Mountain View, California, United States

### Software Development Engineer @ Amazon Web Services (AWS)
Jan 2019 – Jan 2021 | East Palo Alto, California
Worked on 
- AWS EMR (Elastic MapReduce)
- Amazon Chime

### Software Engineer II @ Walmart Labs
Jan 2019 – Jan 2019 | United States
My work at Walmart lies at the interesting intersection of Big data and Engineering. Specifically into data engineering (build data ingestion pipelines to move international data from various data sources into the data lake for end users to consume) and pricing domain - (build algorithms to decide on markdown percentages that should be given to perishable products in order to reduce waste) 

Some of the pieces I worked on are:

- Engineered an automated framework for DSIM (Dynamic Store Initiated Markdown) which is used for identifying seasonality trends for finelines and departments in international markets. Worked in Development of Alert Mechanism and Intelligent Feedback Correction system workstream to generate markdown for DSIM ASDA;

- Collaborated on a Machine Learning product for item recommendation that can lead to a better online experience and drive customer acquisition and conversions.

- Built data models and data pipelines on ETL workflows by using the Hadoop ecosystem, worked with various data sources (Oracle, Teradata, DB2, etc.).

- Leveraged SQL, Hadoop and Python to perform data validation tasks and migrate data into data lake.

### Software Engineer @ Yahoo
Jan 2018 – Jan 2018 | United States
▪ Worked with a matrixed software development team to create an internal mobile and desktop tool that surfaces customer feedback to all employees which has driven hundreds of user experience changes by processing over 4M pieces of consumer feedback across 45 different brands and horizontal teams.
▪ Built web frameworks for monitoring customer sentiments across various brands, applying machine learning algorithms for feedback categorization and filtering.
▪ Automated Yahoo! community metrics reporting by leveraging APIs which resulted in 50% less of manual work. Leveraged web analytic tools to analyze metrics and identify opportunities for audience growth.

### Teaching Assistant @ University of Maryland
Jan 2018 – Jan 2018 | College Park
Big Data course

### Graduate Research Assistant @ University of Maryland
Jan 2018 – Jan 2018 | College Park, MD


## Education
### Master of Science in Analytics
University of Maryland
Jan 2017 – Jan 2018

### BBA in Finance
University of Prince Edward Island
Jan 2013 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/jennawei

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Source: https://flows.cv/jenna
JSON Resume: https://flows.cv/jenna/resume.json
Last updated: 2026-03-22