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Computer Science Theory

• Map Function Abstraction

• Data Types Abstraction

• Bytecode vs Machinecode

• Supporting a Self-Documenting Code Approach in Python

Practical Python Programming

• Shielding Your Code with an API Wrapper: A Practical Example

• pytest Fixtures – autouse=True vs scope="module" Cheat Sheet

About

I’m an Azure-certified Data Engineer with a Master’s in Data Science, focused on building reliable, automated systems that help organizations manage and understand their data more effectively. With over six years of experience in data engineering, analytics, and visualization, I’ve developed and maintained pipelines that power finance, marketing, and operations reporting.

My background includes working with APIs, cloud services, and large datasets to create end-to-end workflows that reduce manual effort and improve data quality. I prioritize clean, maintainable code, well-structured reporting models, and scalable solutions. I also enjoy working across teams to align data strategy with business goals and make insights more accessible to stakeholders.

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