Adrian Moscol

I’m a Data Engineer with 2+ years of experience in data engineering, cloud analytics, and automation. I focus on building ETL pipelines and scalable data workflows that turn messy inputs into reliable, decision-ready data.

At Jobsity, I built an interactive revenue analytics platform in Retool, replacing manual Excel reporting and enabling real-time tracking of upsales, churn, and revenue trends. I led end-to-end data workflows for revenue and talent analytics, aligning data architecture with business requirements to deliver consistent reporting across teams.

I automate ETL pipelines on Google Cloud—using BigQuery, Cloud Run, and Workflows—to improve data availability and reduce manual preparation. I also designed and deployed AI agents with Gemini, LangChain, and Azure Cognitive Services to evaluate candidate interviews and generate technical, language, and fit scores quickly.

Previously, I supported enterprise database migration work by optimizing queries and validating data consistency in a high-volume banking environment. I strengthened data quality by automating validation and cleanup with Python, and I improved large-scale processing using advanced SQL in Teradata and Oracle—always aiming for measurable performance, fewer manual steps, and dependable outcomes.