Loading…
Hosted by Andreas Kretz · 🇺🇸 US · EN · 128 episodes
Established thought leaders with verified media credentials.
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
Andreas Kretz hosts Plumbers of Data Science, a technology show with 128 episodes published.
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 star
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
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, Claude,
In this podcast episode, I’m talking with Vadym Kazulkin, AWS Serverless Hero and Principal Cloud Architect. He’s part of the AWS community for years now, speaking at events, testing new features early, and helping the c
In this episode, I’m joined by Christina Stathopoulos, a former Googler who now works independently as a data & AI evangelist, trainer, and advisor. Not only did we talk about her path from data engineering into data sci
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 now h
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. We started with DuckDB but quickly veered off into
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. We talk about: His 20-year jo
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 career. Johannes sh
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. We explore why Azure became his go-to, how
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. I’m testing new strategies to mak
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 expe
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! I explain how this new offering will
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 is i
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 skills,
In this Hero Talk episode, I chat with Susan Walsh, the “Classification Guru,” known for her expertise in cleaning and classifying messy data. We dive into her unexpected journey into the data world, starting with a spen
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 serv
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, where t
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 Officer
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. I’ll break down the pros and cons
Christina Stathopoulos
data & AI evangelist, trainer, and advisor · Dare to Data
1 appearance on this show
Ben Rogojan
the Seattle Data Guy
1 appearance on this show
Susan Walsh
data quality expert and The Classification Guru! · The Classification Guru
1 appearance on this show
Dan Beach
Data Engineering Central
1 appearance on this show
Tom Schamberger
msg
1 appearance on this show
Deepak Goyal
AzureLib
1 appearance on this show
Mario Scriminaci
Mostly AI
1 appearance on this show
Ryan Yackel
DataBand
1 appearance on this show
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
Plumbers of Data Science has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their technology audience.
Plumbers of Data Science is hosted by Andreas Kretz. The show is categorised under technology and has published 128 episodes.
Plumbers of Data Science has published 128 episodes.
Plumbers of Data Science regularly covers technology. It sits in the technology category.
Plumbers of Data Science is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Plumbers of Data Science hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Plumbers of Data Science average 39 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Plumbers of Data Science's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 2 days ago.