Data Engineer Intern Reality Labs Marketing

Jun 2024 - Sep 2024

I was responsible for integrating eBay into a performance marketing dashboard to track campaign performance for Meta Reality Labs products. This included creating a Bento (Meta Jupyter-equivalent) notebook to test API calls to the eBay Marketing API, integrating these calls into a Dataswarm (Meta Airflow equivalent) pipeline to facilitate a daily refresh of staging tables, and writing SQL queries for the dashboard.

I went beyond the scope of the project by facilitating a privacy review for our use-case, and configuring Meta-wide credentials used by multiple teams. Further, I completed tasks for the wider team by interacting with API calls for Snapchat, Amazon, and Tiktok reporting.

Associate Data Engineer Enterprise Engineering and Analytics

Jul 2021 - Jul 2023

Over two years, I acted as the owner of a data domain, part of a semantic layer within a data fabric architecture, containing over ten million geographical records. As part of my role, I actively participated in conversations with data modelers, engineers, and scientists to prioritize and delegate tasks across Sprints (within an Agile framework).

I updated relational tables and semantic graphs using Python, SQL, and SPARQL in Databricks, and ran CI/CD and Airflow pipelines to deploy changes and validate record counts between development and production environments.

Other projects I worked on include updating front-end templates for a web platform, Metaphactory, that connected to our semantic data, for which I was involved in creating a Javascript endpoint to create this connection. I also received recognition for my quick turnaround in creating a Usage and Monitoring dashboard in Grafana.

Data Engineer Intern Enterprise Engineering and Analytics

Jun 2020 - Sep 2020

Over 12 weeks, I devised a tool for scientists to visualize integrated gene and protein data graphically and analyze the data to learn more about specific drug targets, adding to Amgen’s intellectual property. This involved using open Database Connectivity, JavaScript and SQL queries to import more than four thousand entries into Spotfire, a data visualization and analytics tool.

Undergraduate Teaching Assistant Department of Computer Science

Jan 2020 - May 2020; Sep 2020 - Dec 2020

CSCI 1410: Artificial Intelligence (Fall 2020)

I developed coding-based and written assignments for 150 students to enhance their understanding of algorithms used for search, planning, and machine learning. Moreover, I held weekly office hours in which I guided students in spotting bugs in their code and helped them apply key class concepts to assignments

CSCI 0220: Discrete Structures and Probability (Spring 2020)

During my office hours, I guided students in writing proof techniques for answering problems related to computational and probability theories. I also adapted to the new virtual environment of the pandemic by utilizing Zoom whiteboard tools and holding office hours at time zones more convenient for international students.

Summer Research Intern School of Biomedical Sciences

Jun 2019 - Jul 2019

I worked in a wet lab setting and assisted post-doctoral students in Professor Danny Chan’s lab in their skeletal biology research. This primarily involved conducting polymerase chain reaction experiments on DNA from mice tissue and interpreting genotypes from the results.