Recent projects focus on governance, stewardship, and data management of large datasets.
Developing and maintaining robust database solutions while providing reliable technical support to clients.
Ensuring high data quality through robust Python-based validation rules within scalable workflows.
Python medallion pipeline implementing complete ETL for processing and validating geospatial datasets.
Machine learning and spatial analysis were employed to investigate archaeological amber trade patterns.
Relational database model with robust, scalable tables engineered for optimal performance.
