Data Management
Comfortable across relational and non‑relational stores, moving data between whatever shape it arrives in and whatever shape it needs to leave in.
Equipping decision‑makers with the tools to make sense of the data.
I build the pipelines, models, and dashboards that turn scattered records into something a person can actually act on — from weather telemetry to subscription behavior.
Open source tooling
Data automation
Weather & physiology
Cooking, off the clock
INGEST → TRANSFORM → SERVE
24H
01 / Expertise
Analytics
Python and SQL for ETL/EtLT work on AWS — modeling data with the libraries built for scale, then querying it with the techniques built for precision.
Results
The pipeline only matters once someone can see the output. I ship that as clear, concise dashboards and reports, hosted where the people who need them already are.
02 / Portfolio
01
API → Lambda
→ RDS
Automated Weather Pipeline
Pulls live conditions from Apple's WeatherKit API into AWS RDS PostgreSQL, orchestrated on a schedule with Lambda and EventBridge — no manual runs.
WeatherKit APIAWS LambdaEventBridgeRDS / PostgreSQL
→ RDS
02
FTP → ETL
→ warehouse
NOAA Ingestion Pipeline
Manages ongoing ingestion of NOAA FTP weather data for 112 US airports, keeping a continuously growing dataset clean and queryable.
NOAA FTPPythonPostgreSQL
→ warehouse
03
DB → API
→ viz
Visualization APIs
RESTful, JSON‑speaking endpoints built specifically to feed downstream visualization tools without the caller needing to know the schema underneath.
RESTJSONPython
→ viz
04
Full‑stack
Recipe Web App
A full‑stack Flask application for organizing and serving recipes, backed by PostgreSQL — the culinary side of the portfolio.
FlaskPythonPostgreSQL
05
Desktop app
Certification Prep GUI
Desktop study tools built with Tkinter for drilling exam material — quizzing, tracking, and repetition in a plain, distraction‑free window.
PythonTkinter
06
Analysis
Subscriber Cancellation Analysis
A Codecademy portfolio project automating the analysis of subscriber cancellation data to surface where and why people were leaving.
PythonPandas
03 / Contact
Have a dataset that needs a home — or a pipeline that needs building?
Reach out directly. I read every message myself.