Dick Danel

At Vcare Connect, I designed and maintained a scalable SQL data warehouse and ETL pipelines processing approximately 5 million records each day.

I took end-to-end ownership of the data environment, covering monitoring, releases, maintenance, support, and continuous improvement. I redesigned a business-critical product from unreliable daily data delivery to fresh data every 30 minutes.

I developed eight reporting products used by more than 600 healthcare organizations, along with internal dashboards for Finance, Sales, and Support. I also built a Python forecasting model using Scikit-learn and Random Forest to predict hourly workload up to three months ahead.

Alongside my professional experience, I’m building a travel data platform using Python, PostgreSQL, dbt, and Dagster, focusing on ingestion, transformation, orchestration, and automated testing.

I bring a strong Business Intelligence foundation combined with hands-on data engineering experience across Azure, SQL Server, and modern data tooling. I’m particularly interested in backend data engineering, cloud platforms, data pipelines, and data modeling.