Transforming data into automation, intelligence, and business value
I'm a Data Engineer & Analytics Engineer completing a Data Engineering Apprenticeship at Nashville Software School.
I build end-to-end data pipelines, design medallion architectures, and turn raw data into decisions that drive business outcomes.
- 🎓 Dual-track training in Data Analytics and Data Engineering — Python, SQL, dbt, Snowflake, Airflow, AWS, Databricks
- 🏗️ Passionate about pipeline architecture, data modeling, and BI storytelling
- 🚀 Background in e-commerce operations & digital marketing — I understand the business side of data
- 🌎 Based in Tennessee, actively targeting Seattle / Pacific Northwest opportunities
Languages: Python | SQL
Data Platforms: Snowflake | Databricks | AWS S3 | PostgreSQL | DuckDB
Orchestration & Pipelines: Apache Airflow | dbt (Core) | Docker | GitHub Actions
BI & Visualization: Power BI (Advanced DAX) | Tableau | Power Query
Libraries: Polars | Pandas | NumPy | Scikit-learn | Matplotlib | Seaborn | Folium
Other: MinIO | FastAPI | AWS CLI | Linux
| Project | Description | Tools |
|---|---|---|
| 🏥 NPPES Healthcare Provider Analytics | Production-grade ELT pipeline processing 8.85M records (9.9 GB) through a medallion architecture. Analyzes geographic distribution, specialty mix, and provider density across US counties. Orchestrated with Airflow, modeled in dbt, served from Snowflake. | Python, Polars, DuckDB, dbt, Snowflake, Airflow, AWS S3 |
| 🛒 Brazilian E-Commerce Analytics | Multi-page Power BI dashboard analyzing 99K+ orders across 27 states. Features dynamic DAX narratives, min-max normalized radar scoring, and RANKX-based state performance rankings. | Power BI, DAX, Power Query |
| 📊 Global Online Retail Strategic Intelligence | End-to-end BI solution transforming 541K+ raw records into executive insights. Automated Python ETL feeding a multi-page Power BI report with advanced DAX measures and $8.91M revenue analysis. | Python, Pandas, Power BI, DAX |
| 🔹 From Calls to Crimes: Nashville Public Safety | Capstone analytics project joining 911 call data with crime records to surface spatial and temporal public safety trends across Nashville neighborhoods. | Python, Pandas, Folium, Power BI |
| 💬 Telco Customer Churn Prediction | End-to-end ML pipeline predicting customer churn with classification models. Includes feature engineering, model evaluation, and business-framed findings. | Python, Scikit-learn, Pandas |
- ⚙️ Medallion architecture pipelines on Snowflake + dbt (staging → intermediate → marts, incremental models, snapshots)
- 🔥 Databricks / Apache Spark — distributed processing and large-scale transformation
- 📡 Event-driven data systems — S3 listeners and trigger-based pipeline patterns
- ☁️ Preparing for DP-700 Microsoft Fabric Data Engineer certification
⭐ "Turning Data into Decisions, and Decisions into Impact."
💬 Open to connecting with data professionals and hiring managers — let's talk pipelines, architecture, and business impact.