A Data Systems Blog for Engineers

Clear blog written on cloud architecture, databases, and AI engineering drawn from real client work, written for engineers who want depth in data systems without the noise.

No fluff. No hype. Just clear explanations of how modern data systems actually work.

This is a data systems blog written from inside the work, not above it. I spend my days designing schemas, debugging slow queries, scaling infrastructure on AWS and Azure and building RAG pipelines that have to actually return useful answers in production. The articles here come out of that what worked, what didn’t and the parts of the story that the official documentation tends to leave out.

The three threads I write about cloud and DevOps, database engineering, and AI systems aren’t separate disciplines. A modern application is a database problem dressed up as a cloud problem with an AI layer on top. So the writing moves between them naturally, depending on what the engineering work itself called for.

If you’re an engineer, a technical founder, or someone evaluating whether a vendor’s pitch holds up under scrutiny, you’re the reader I write for.

What This Data Systems Blog Covers

Cloud & DevOps

Building scalable data systems on AWS, GCP, and Azure with cost and performance in mind.

Databases

How OLTP systems work, schema design, indexing, performance tuning, and transactions.

AI Engineering

Retrieval-augmented generation pipelines, embeddings, vector databases, and LLMOps.

Recent Articles from the Data Systems Blog

Data Mart article from the data systems blog

Data Mart

Share This Article Data Marts are a subset of a data warehouse that is tailored...

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Learn data systems, one concept at a time.

A structured approach to mastering data systems.

Fundamentals explained in simple language, without skipping the “why”.

Explained architectures, trade-offs, and real-world design decisions.

Concepts to real pipelines, databases, and AI systems that can actually work.

Most data systems blogs are either vendor marketing dressed up as education or junior tutorials that stop right where the interesting problems start. I’m trying to write the blog I wish existed when I was learning this stuff concrete, opinionated and written by someone who’s still in the trenches.

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