At Nomos, I built a Change Data Capture pipeline that cut data latency from 12 hours to 5 minutes, streaming 50 PostgreSQL tables into the lakehouse. I also designed an AWS lakehouse that consolidated six sources and reduced query time from three minutes to 20 seconds.
I automated data quality tests across 92 dbt models and built a real-time Machine Learning inference API at Nomos. Before that, as a Data Analyst, I structured dbt models used by six departments and delivered KPI dashboards; I also built Urna Aberta, a real-time election forecasting project.
