At Swiss Re, I own 23 datasets end to end in Palantir Foundry and have contributed to 30 datasets and pipelines across raw, transformed, and curated layers. I made a pipeline incremental, cutting its build time from 2 hours to 2 minutes.
I implemented incremental ingestion and sync for Facebook Ads data, processing new and changed records instead of reloading full history. I also built automated data quality checks that catch invalid schemas, row counts, null values, and column values before data reaches downstream consumers.
As a Technology Intern at Swiss Re, I built a Travel Dashboard showing air and train travel volume, timestamps, and CO2 emissions. I also built a serverless data quality pipeline on AWS, and won 1st Prize at the HackRe Hackathon as part of a team that built an AI model to predict buyer propensity.
