Crafted insights on data
systems,
built for real-world scale.
A personal data engineering & AI systems blog by Naveen Chandra — covering
Data Engineering, Databases, Cloud Platforms, Data Warehousing, and RAG-based AI architectures.
No fluff. No hype. Just clear explanations of how modern data systems actually work.
Topics to Explore
Data Engineering
Designing ETL/ELT pipelines, batch & streaming systems, orchestration, and reliability.
Databases
How OLTP systems work, schema design, indexing, performance tuning, and transactions.
Data Warehousing & Lakehouse
Dimensional modeling, analytics architectures, data lakes, and transformation layers.
Cloud Data Platforms
Building scalable data systems on AWS, GCP, and Azure with cost and performance in mind.
AI Engineering
Retrieval-augmented generation pipelines, embeddings, vector databases, and LLMOps.
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.
Hi, I’m Naveen Chandra.
I’m a data engineer focused on building and understanding real-world data systems — from databases and pipelines to cloud platforms and AI architectures. crafted.data is where I share how these systems work, how they’re designed in practice, and where engineers often get stuck.
