Data Engineer with an MS in Advanced Data Analytics and production experience building healthcare and financial data systems. I work across the full modern data stack — ingestion through reporting layer — with a focus on well-tested, documented pipelines and clear output for stakeholders.
Currently at PermianBytes building ELT pipelines, dimensional models, and data APIs for client engagements. Previously at General Genomics architecting a Kubernetes medallion lakehouse for clinical and imaging data (DICOM, FHIR R4). Finance domain background from JPMorgan Chase and Charles Schwab — I understand the compliance rules and data conventions that make financial pipelines hard.
Languages & Frameworks
Data Engineering
dbt Apache Airflow Apache Spark Streamlit
Warehouse & Storage
Snowflake Databricks PostgreSQL DuckDB
Cloud & Infrastructure
AWS Docker Kubernetes GitHub Actions
- The Data Warehouse Toolkit — Kimball & Ross
- Fundamentals of Data Engineering — Reis & Housley
- Designing Data-Intensive Applications — Kleppmann