Discover 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.
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Contact path
Verified email
Booking probability
17%
Guest openness
Selective
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Signup to Generate a PitchDiscover 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.
Recent episodes include "Data Engineering Is Not One Job Anymore" (11 January 2026, 4 minutes), "dbt Is Not an ETL Tool, And That’s Okay" (8 January 2026, 5 minutes), and "Comparing Databricks, Snowflake, and BigQuery: Same Query, Real Costs" (8 January 2026, 6 minutes).
Reliable Data Engineering publishes roughly daily, with episodes averaging 5 minutes across 6 episodes.
Booking probability for Reliable Data Engineering is 17%, and the host is rated Selective on guests. Reliable Data Engineering requires a Pod Score of 80 or higher. Reliable Data Engineering's contact route on record: verified email.
The strongest fits for Reliable Data Engineering are IT Services & Software Development. Reliable Data Engineering has a technology audience.
Reliable Data Engineering is a technology podcast with 6 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Reliable Data Engineering
<p>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...
Reliable Data Engineering
<p>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...
Reliable Data Engineering
<p>A side-by-side analysis of query performance, pricing, and operational differences across three leading data platforms</p>
Reliable Data Engineering
<p>A story about how AI agents what do for us!</p>
Reliable Data Engineering
<p>A realistic look at what’s coming and the skills that will keep you ahead of the curve</p>
Reliable Data Engineering
<p>Welcome to Reliable Data Engineering—the podcast for data engineers who build production systems and want to stay ahead of the curve.</p><p>I'm your host, a data engineer with 6+ years building enterprise-scale data...
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