Hi, I'm Lubo
Data isn’t just numbers — it’s a powerful asset for smarter decisions.
By looking beyond the numbers, and building clean data pipelines,
I help your organization grow — in profit, performance, and reputation.


Unlocking Insights with the CVS Contractors Executive Dashboard
IExplore how powerful data visualization transforms contractor performance management at CVS. This interactive dashboard delivers real-time insights into maintenance costs, overdue work orders, and regional trends—helping leadership spot inefficiencies and optimize vendor performance instantly.
Built from scratch with robust SQL analytics and dynamic Tableau visuals, it reveals hidden patterns behind millions in maintenance spend, empowering smarter budgeting and proactive decision-making. Whether you're a data enthusiast or a facilities professional, this dashboard offers a clear, actionable view of contractor performance that drives results.

About Me
Hi, I'm Lubo
Data isn’t just numbers — it’s a powerful asset for smarter decisions.
By looking beyond the numbers and building clean data pipelines, I help your organization grow — in profit, performance, and reputation.

See My Work
10M+
Rows
Analyzed
10+
Years
People Skills
99+
Happy clients


What My Professor Says
⭐️⭐️⭐️⭐️⭐️
“Lubo is one of the most driven and reliable students I’ve taught. His technical skills, problem-solving ability, and clear communication make him a standout in both teamwork and independent work.”
Julie Brennan, Assistant Professor, Math & Computer Science
Lincoln Land Community College

We’re Matched.
If you’re here, it’s meant to be.
Let’s turn your data into a story — one that drives real success.
We’re Matched.
If you’re here, it’s meant to be.
Let’s turn your data into a story — one that drives real success.
Contact Me

Follow Me



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SKILLS
SKILLS














Building a Robust Contractor Data Pipeline: From API to Insights
This project showcases a fully automated backend data pipeline built from the ground up to simulate how CVS manages contractor and work order data. Using a Flask API for live data ingestion, PostgreSQL for reliable storage, and Python scripts for daily data extraction and cleaning, it automates exporting fresh, accurate datasets.
The pipeline feeds directly into a Tableau dashboard that updates in near real-time, providing dynamic insights into contractor performance. Designed for scalability and easy cloud integration, this project demonstrates practical expertise in building end-to-end data engineering solutions that turn raw data into business value.
Building a Robust Contractor Data Pipeline: From API to Insights
This project showcases a fully automated backend data pipeline built from the ground up to simulate how CVS manages contractor and work order data. Using a Flask API for live data ingestion, PostgreSQL for reliable storage, and Python scripts for daily data extraction and cleaning, it automates exporting fresh, accurate datasets.
The pipeline feeds directly into a Tableau dashboard that updates in near real-time, providing dynamic insights into contractor performance. Designed for scalability and easy cloud integration, this project demonstrates practical expertise in building end-to-end data engineering solutions that turn raw data into business value.

Unlocking Insights with the CVS Contractors Executive Dashboard
Explore how powerful data visualization transforms contractor performance management at CVS. This interactive dashboard delivers real-time insights into maintenance costs, overdue work orders, and regional trends—helping leadership spot inefficiencies and optimize vendor performance instantly.
Built from scratch with robust SQL analytics and dynamic Tableau visuals, it reveals hidden patterns behind millions in maintenance spend, empowering smarter budgeting and proactive decision-making. Whether you're a data enthusiast or a facilities professional, this dashboard offers a clear, actionable view of contractor performance that drives results.



See My Work
10+
Years
People Skills
99+
Happy clients
1M+
Rows
Analyzed
10M+
Rows
Analyzed