Reliable Data Engineering
Reliable Data EngineeringDiscover how to build, deploy, and maintain data pipelines that scale reliably in production. This podcast features practical lessons on Databricks migrations, dbt best practices, SQL optimization, cost reduction on cloud platforms, and data quality frameworks—all designed to help data engineers avoid costly mistakes.
| Publishes | Daily | Episodes | 6 | Founded | a month ago |
|---|---|---|---|---|---|
| Category | Technology | ||||
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Latest Episodes
Ten years ago, being a generalist worked. In 2026, companies don't hire "tool collectors." They hire specialists who solve specific problems exceptionally well. Here's which path pay and which leaves you unemployable.
dbt is often treated like a full ETL platform — and that expectation causes more problems than it solves. In this episode, we break down what dbt was actually designed for, where it shines, where it doesn’t, and why accepting its limits leads to clea... more
A side-by-side analysis of query performance, pricing, and operational differences across three leading data platforms
A story about how AI agents what do for us!
A realistic look at what’s coming and the skills that will keep you ahead of the curve
Welcome to Reliable Data Engineering—the podcast for data engineers who build production systems and want to stay ahead of the curve.
I'm your host, a data engineer with 6+ years building enterprise-scale data infrastructure. I've migrated 500+ dbt ... more
Key Facts
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Apple Podcasts | #147 |  Ukraine/Technology |
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Reliable Data Engineering launched a month ago and published 6 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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