I am a data and technology enthusiast that is driven to help companies use their data to answer questions and solve problems. I have worked with data my entire career as an engineer, an analyst and a consultant developing everything from electrosurgical devices to marketing models and BI dashboards. I can empathize with customers to understand their needs and solve their problems prioritizing clarity and simplicity. I am particularly interested in using open source frameworks and tools to supplement managed services in order to build the most efficient and cost effective analytics pipelines possible.
📫 Contact:
- Programming: Python, SQL
- Data Engineering: ETL, Data Pipelines, Streaming Data, Data Warehousing
- Data Science: Machine learning, feature engineering
- Data Skills: Statistical analysis, dimensional data modeling, data visualization
- Cloud Computing: AWS, GCP
- Databases: PostgreSQL, Snowflake, BigQuery, Redshift
- Orchestration & Workflow Management: Airflow, Mage, dbt
- Infrastructure as Code: Terraform, Docker
- BI & Visualization: Tableau, Power BI, Looker
📌 Description: Created a pipeline and dashboards that make it possible to explore weather/climate and energy consumption/production in the U.S
🔧 Tech Stack: Airflow, Snowflake/Snowpark, dbt, Tableau
📁 Repository: GitHub Link