Hello
Here's who I am & what I do
As a data analytics engineer, I build data pipelines that turn raw, scattered data into data-driven assets. My expertise is based around the data analytics and analytics engineering, designing solutions that involves using Microsoft Fabric, Azure Databricks, and PySpark that don't just report on what has happened, but also scale up as the business grows.
My Skills and Experience include:
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Building incremental load pipelines and Lakehouse architectures in Microsoft Fabric, including Medallion-style Bronze-Silver-Gold layering for clean, governed data flow
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Writing PySpark transformations for large-scale data processing — including Gold-layer dimension tables and reusable, production-style notebook logic
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Converting engineered data to Power BI dashboards and DAX measures to make the value of clean pipelines clear to stakeholders' metrics
What sets me apart is that I don't stop at "the dashboard looks right" — I care about how the data got there: whether the pipeline is efficient, whether it'll hold up as volume grows, and that a next generation user that touches it will be able to trust and build on it.