🎓 Data Scientist | 🤖 Data Engineer | ☁️ AWS Explorer

🔍 Passionate about transforming complex data into meaningful insights and building reliable, scalable data systems that drive smarter decisions.

📍 Salt Lake City, UT
💼 Computer Science Tutor & Data Engineer Intern @ Ensign College

I’m a data-driven problem solver who bridges economics and data science to uncover insights and optimize systems.
My recent work includes developing real-time data pipelines, automating ETL workflows, and deploying interactive dashboards for live monitoring and analytics.

Programming & Data: Python, SQL, R, Pandas, NumPy, Jupyter
Databases: PostgreSQL, TimescaleDB, Redis, SQL Server
Streaming & Orchestration: Kafka, Airflow, Docker Compose
Cloud & DevOps: AWS (EC2, S3), Docker, GitHub Actions
Visualization & BI: Power BI, Tableau, Grafana
Web Stack: FastAPI, Next.js, Tailwind CSS

🔹 CRE Market Signals — County-level data pipeline combining HUD, FRED, and Census APIs into unified market intelligence for real estate analysis (Python, DuckDB, FastAPI, Docker).
🔹 Real-Time Streaming Data Pipeline — Built and optimized a Kafka → TimescaleDB → Grafana stack to monitor virtual machines’ CPU and RAM in real time, reducing latency and improving alert responsiveness.

• Enhancing streaming data infrastructure with Kafka & TimescaleDB
• Deploying and scaling pipelines using Docker & AWS
• Preparing for AWS Machine Learning Engineer and Data Engineer Associate certifications
• Writing blogs on data engineering, optimization, and analytics storytelling

⭐️ “Turning raw data into reliable signals for better decisions.”