PitchCentric
Plumbers of Data Science podcast artwork

technology

Plumbers of Data Science

Hosted by Andreas Kretz · technology · EN · 125 episodes

Audience: 12~1.3k on YouTube

About this Podcast:

Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong.We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com

Pitch Analysis

Required Pod Score for this show. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

Contact path

Verified email

Booking probability

24%

Guest openness

Selective

Verified email on file
80/100
Required Score

Sign up to generate a grounded pitch for Plumbers of Data Science.

Signup to Generate a Pitch

Questions about Plumbers of Data Science

What is Plumbers of Data Science about?

Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics.

Who hosts Plumbers of Data Science?

Plumbers of Data Science is hosted by Andreas Kretz. The show has published 125 episodes to date.

What has Plumbers of Data Science covered recently?

Recent episodes include "#129 Don't Become a Data Engineer Without Knowing These 9 Things" (23 July 2026, 25 minutes), "#128 How Data Engineering Has Changed Because of AI" (17 July 2026, 8 minutes), and "#127 Is AI Making Us Worse Engineers? A Chat with Dan Beach from Data Engineering Central" (8 July 2026, 57 minutes).

How often does Plumbers of Data Science publish?

Plumbers of Data Science publishes roughly every two weeks, with episodes averaging 39 minutes across 125 episodes.

How hard is it to get booked on Plumbers of Data Science?

Booking probability for Plumbers of Data Science is 24%, and the host is rated Selective on guests. Plumbers of Data Science requires a Pod Score of 80 or higher. Plumbers of Data Science's contact route on record: verified email.

Who should pitch Plumbers of Data Science?

The strongest fits for Plumbers of Data Science are IT Services & Software Development. Plumbers of Data Science has a technology audience and around 1,300 subscribers on YouTube.

About the host

Andreas Kretz hosts Plumbers of Data Science, a technology show with 125 episodes published.

Verified host email: ████████@████.comSign in to unlock →

Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

  • Plumbers of Data Science

    #129 Don't Become a Data Engineer Without Knowing These 9 Things

    Jul 23, 202625 min

    SQL, Python, and one cloud platform. That's what a post I saw claimed makes a good engineer. I don't fully agree, so in this episode I break down what actually makes you a good data engineer or platform architect.It...

  • Plumbers of Data Science

    #128 How Data Engineering Has Changed Because of AI

    Jul 17, 20268 min

    AI has changed engineering a lot, so in this short solo episode I think through where it's actually landed: development, debugging, optimization, and the AI engineering hype. The honest take: AI writes the code now. Our...

  • Plumbers of Data Science

    #127 Is AI Making Us Worse Engineers? A Chat with Dan Beach from Data Engineering Central

    Jul 8, 202657 min

    Is AI actually making us better engineers, or quietly making us worse? I sat down with Dan Beach from Data Engineering Central to talk honestly about what it feels like to build data systems in the age of Cursor...

  • Plumbers of Data Science

    #126 The Cloud, Java, and the Future of Serverless – with Vadym Kazulkin

    Aug 6, 202547 minS0

    <p>In this podcast episode, I’m talking with Vadym Kazulkin, AWS Serverless Hero and Principal Cloud Architect.</p><p>He’s part of the AWS community for years now, speaking at events, testing new features early, and...

  • Plumbers of Data Science

    #125 AI Hype vs. Reality – with Christina Stathopoulos

    Jul 22, 202550 minS0

    <p>In this episode, I’m joined by Christina Stathopoulos, a former Googler who now works independently as a data & AI evangelist, trainer, and advisor.</p><p>Not only did we talk about her path from data engineering...

View More
  • Plumbers of Data Science

    #124 These Skills Get You a Data Consulting Job – with Tom Schamberger

    Jul 9, 202544 minS0

    <p>In this episode, I’m talking with Tom Schamberger from the German consultancy msg. He leads their cloud data platform team and has a super interesting background: started coding Java at 12, co-founded startups, and...

  • Plumbers of Data Science

    #123 Building Fast and Fun Data Projects - with Mehdi Ouazza

    Jun 19, 20251h 17mS0

    <p>In this episode, I sit down with Mehdi Ouazza - data tinkerer, indie hacker, and content creator - who's always up to something interesting in the world of data and AI.</p><p>We started with DuckDB but quickly veered...

  • Plumbers of Data Science

    #122 Why Writing Is Thinking , and What Data Engineers Can Learn from It - with Simon Späti

    Jun 11, 20251h 5mS0

    <p>In this podcast episode, I’m joined by Simon Späti, long-time BI and data engineering expert turned full-time technical writer and author of the living book Data Engineering Design Patterns.</p><p> We talk...

  • Plumbers of Data Science

    #121 From Application Dev to AWS Hero: A Journey in Tech & Impact - with Johannes Koch

    May 19, 20251h 3mS0

    <p>In this episode, I’m joined by Johannes Koch, Principal Engineer and AWS DevTools Hero, to talk about the real DevOps mindset, the evolution of developer experience, and how community work changed his...

  • Plumbers of Data Science

    #120 Teaching Data Engineering Like It’s Done on the Job - with Deepak Goyal

    May 8, 202549 minS0

    <p>In this episode, I sit down with Deepak Goyal, the founder of AzureLib, to talk all things data engineering, cloud platforms, and how to teach the next generation of engineers.</p><p>We explore why Azure became his...

  • Plumbers of Data Science

    #119 Recruiting is harder than I thought

    Nov 4, 202410 minS0

    <p>In this episode of the Plumbers of Data Science podcast, I dive into the challenges of recruiting today, from overwhelming job application volumes to reaching out directly to recruiters.</p><p>I’m testing new...

  • Plumbers of Data Science

    #118 Freelancing as a Data Engineer - Hero Talk with the "Seattle Data Guy" Ben Rogojan

    Oct 25, 202455 minS0

    <p>In this Hero Talk episode, I had the pleasure of chatting with Ben Rogojan, better known as the "Seattle Data Guy." Ben is a data engineer, YouTuber, and freelancer with a background at Facebook. He's become a go-to...

  • Plumbers of Data Science

    #117 We Are Starting a Recruiting Service!

    Oct 18, 202411 minS0

    <p>In this episode of the Plumbers of Data Science podcast, I'm sharing some exciting updates about the future of Learn Data Engineering and a big new service we’re launching—recruiting!</p><p>I explain how this new...

  • Plumbers of Data Science

    #116 Data Modeling is F***ing Easy!

    Sep 23, 20246 minS0

    <p>In this episode of the Plumbers of Data Science podcast, I’m sharing my thoughts on why data modeling isn’t as complicated as people make it out to be. You hear about courses and tutorials that stretch for hours—but...

  • Plumbers of Data Science

    #115 His Career Started With a Bootcamp & Now He Helps Others Succeed - Hero Talk w/ Mezue Obi-Eyis

    Sep 20, 202439 minS0

    <p>In this Hero Talk episode, I talk with Mezue, a seasoned Data Engineer with expertise in Azure Databricks Data Engineering. We cover his journey from Electrical Engineering to Data Engineering and discuss the key...

  • Plumbers of Data Science

    #114 Dirty Data & Data Cleaning - Hero Talk with "The Classification Guru" Susan Walsh

    Sep 16, 202449 minS0

    <p>In this Hero Talk episode, I chat with Susan Walsh, the “Classification Guru,” known for her expertise in cleaning and classifying messy data.</p><p>We dive into her unexpected journey into the data world, starting...

  • Plumbers of Data Science

    #113 A Deep Dive Into APIs, IoT, and Data Storage - Hero Talk with Paolo Lulli

    Sep 9, 202434 minS0

    <p>In this Hero Talk episode, I sit down with Paolo Lulli, an experienced Data Engineer, to explore some of the core challenges and decisions in API development and data management. We dive deep into the debate between...

  • Plumbers of Data Science

    #112 Why testing data pipelines can be so challenging - and how to tackle it

    Sep 6, 202419 minS0

    <p>In this episode of the Plumbers of Data Science podcast, I’m diving into why testing can be so challenging for data engineers. The inspiration for this topic actually came from one of my recent Coaching sessions...

  • Plumbers of Data Science

    #111 Is This the Synthetic Data Revolution?! Hero Talk with Mario Scriminaci from Mostly AI

    Sep 2, 202447 minS0

    <p>In this Hero Talk episode, we dive deep into the fascinating world of synthetic data, a critical tool for development, testing, and training Machine Learning models. Joining me is Mario Scriminaci, Chief Product...

  • Plumbers of Data Science

    #110 Bootcamps vs Coaching

    Aug 30, 202426 minS0

    <p>In this episode of the Plumbers of Data Science podcast, I’m diving into the debate between bootcamps and coaching programs, especially for those looking to advance in Data Engineering.</p><p>I’ll break down the pros...

Guest Appearances

Recent guests on Plumbers of Data Science. Study who booked and why before you pitch.

Best industries to pitch Plumbers of Data Science for

PitchCentric classifies Plumbers of Data Science under these industries. Guests from them are the closest fit, and each links to the best podcasts in that industry.

Podcasts like Plumbers of Data Science

Is this podcast yours and you'd like to remove or correct details? Request removal or email privacy@pitchcentric.com.

Questions about the free trial? See the pricing FAQ