Python · SQL · Data Visualization

Turning data into clear, decision-ready insights.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. A clean data portfolio combining automated pipelines, analytical SQL models and interactive visual storytelling.

Regional Market Index

+14.8%

JanMarMayJulSepNov

12+

Data Sources

38

SQL Models

Daily

Refresh Cycle

Portrait of Luke

About Me

Hi, I'm Luke — passionate about data, analytics and modern data products.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. I enjoy transforming raw data into clear, visually engaging and decision-ready insights.

My interests lie at the intersection of Python, SQL, data engineering and interactive analytics. I enjoy building modern web-based data applications with a clean and scalable architecture.

This portfolio serves as a playground for data visualization, automated pipelines, analytical workflows and modern frontend technologies.

PythonSQLPostgreSQLData VisualizationAnalyticsETL PipelinesReactNext.js

Project

A data product with business context.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.

Data Engineering

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer data pipelines process structured and semi-structured sources.

Analytics & Forecasting

Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Models transform raw data into decision-ready insights.

Production Mindset

Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris. Clear architecture, reproducible workflows, clean deployment.

Architecture

From raw data to insight layer.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curated models, reproducible transformations and a clean visualization layer.

1Extract APIs & CSV files
2Validate and clean with Python
3Model facts and dimensions in SQL
4Serve metrics to dashboard
5Visualize KPIs and trends

Dashboard

Interactive analytics space.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Replace this panel with a Streamlit iframe or native chart components.

Dashboard Placeholder

Embed your Streamlit app here, or replace this section with native React charts connected to your API.

Tech Stack

Built for reproducibility.

PythonSQLPostgreSQLFastAPIStreamlitPlotlyDockerGitHub Actions