Data Engineering: Systems That Stay Up
From Pandas to the Cloud: How I Accidentally Became a Container Evangelist
A few months ago, I was minding my own business—tuning data pipelines, optimizing our queries, and doing the usual data...
Latest field notes
Ideas tested against real systems.
Data Engineering: Systems That Stay Up
From Chaos to Clarity: My Journey Reimagining Azure RBAC
The Permission Paradox Picture this: I’m sitting in yet another emergency meeting because someone can’t access the resources they need...
Data Engineering: Systems That Stay Up
My Journey from SQL Server to Delta Lake: Solving Semi-Structured Data Challenges with Azure Synapse
Let me tell you a story about a data architecture that was slowly turning into a money pit. You know...
Data Engineering: Systems That Stay Up
Network Security in Azure – From Simple to Enterprise
Let me tell you a story about networking (yeah, that scary stuff that gives developers nightmares 😅). Even though I’m...
Engineering AI: Beyond the Prompt
Using AI for Data Analysis: A Deep Dive into Google’s Gemini 1.5 Pro
Google recently announced the world’s longest context window in AI. A context window this long is useful, because we now...
Owning the Stack
Building Your Personal Data Powerhouse: Self-Hosting Apache Spark on Kubernetes – Part 1
Let me tell you about the time I wanted to analyze the NYC trip dataset but found my laptop gasping...
Productivity Without the Hype
Dev Containers: Your Instant Developer Superpower
Have you ever tried to explain to a non-tech friend why your computer suddenly stopped working after installing that “one...