At RapidSOS, I designed and built a production, customer-facing scheduled reporting service that replaced a manual workflow with self-service scheduling and automated report delivery. I implemented its Python backend with serverless AWS services.
I developed Databricks pipelines processing tens of millions of records per day and contributed to multi-billion-row data migrations. I also optimized a high-volume ingestion pipeline, cutting peak runtime from about two hours to about 40 minutes.
At IDC, I built a Python library that automated Snowflake table integrations, reducing integration effort by about 70%. I also built and maintained ingestion flows and dbt models, and helped migrate ETL workflows from Pentaho Kettle to Apache Airflow.
Outside my roles, I built and deployed a personal finance app, connecting a Flask backend and PostgreSQL database to a React frontend. I also co-developed Slepicoid, a customer-facing app for finding and contacting local egg farmers.
