Medallion Architecture Is a Vocabulary, Not an Architecture
Bronze/Silver/Gold is useful for conversation, but the model does not answer the real questions about where business rules and ownership belong.
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Latest
10 posts
Jul 2026
15 min
Seven Principles for Production-Grade Data Pipelines
The data movement is the easy part. Seven principles — with the actual Terraform for each — drawn from adding a Snowflake-to-BigQuery pipeline to a mature production platform: permissions, environments, deployment, and what happens when it fails at 3am.
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Jun 2026
4 min
Traditional AI vs agentic AI vs agentic RAG — what actually changes
Most teams are still building static AI pipelines. Here's what separates them from systems that reason, act, and evolve — and why the difference is architecture, not model choice.
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May 2026
9 min
Beyond the API: A Data Engineer's Guide to the LLM Memory Ladder
What a data engineer learned trying to fine-tune an 8B model — the CUDA crash, the humbling, and the chain of trade-offs that decides whether a model will actually run on the hardware in front of you.
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May 2026
13 min
From BigQuery to Snowflake: What a Real-World Analytics Migration Actually Looks Like
The real story of migrating an analytics workload from BigQuery to Snowflake — not the clean version, but the actual trade-offs, surprises, and lessons from doing it inside a live enterprise.
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Feb 2026
9 min
Building an Enterprise Data Platform from Scratch: What I Learned Over 9 Months
Nine months, twenty thousand jobs, petabytes of data. Here's what I learned building an enterprise data platform from scratch — the architecture decisions, the human dynamics, and six lessons I'd tell myself at the start.
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Jan 2026
3 min
How AI Agents Work: A Simple Explanation for Non-Technical Readers
AI agents, memory, tools, and large language models — explained without jargon. A step-by-step breakdown for anyone trying to understand what an AI agent actually is and how it reasons.
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Oct 2025
5 min
Anatomy of a LangChain Application: The Core Components Explained
A step-by-step walkthrough of building a RAG application with LangChain — from data indexing to retrieval and generation, explained through the core components you'll use every time.
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Oct 2025
4 min
Why LangChain? A Deep Dive into the Essential Framework for GenAI
Why LangChain exists, what fragmentation it solves, and why it became the backbone of enterprise GenAI — a deep dive for engineers who want to understand the framework, not just use it.
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Sep 2025
5 min
Building Trust in Data: Productionizing Great Expectations at Scale
How we deployed Great Expectations in production — the challenges, the failures, and what it actually takes to make data validation a first-class citizen in a real pipeline.
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