Plumbers of Data Science - podcast cover

Plumbers of Data Science

Andreas Kretzlearndataengineering.com
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
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Episodes

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

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 helps big companies design scalable data platforms. We talk about: What it really takes to be successful in data engineering consulting Why soft skills matter just as much as tech skills How consulting projects actually work — from Excel chaos to full platforms The role of tools l...

Jul 09, 202544 min

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

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 much more exciting territory: side projects, voice-to-SQL with actual quacks, the power of local models, and why WebGPU might be one of the most underrated browser technologies today. We also talked about how we teach and learn data engineering in 2025: the importance of fun, int...

Jun 19, 20251 hr 17 min

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

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 journey from SQL-heavy BI to modern Data Engineering Why switching from employee to full-time author wasn’t planned, but necessary How he uses a “Second Brain” system to manage and publish his knowledge Why writing is a tool for learning, not just sharing The concept of convergen...

Jun 11, 20251 hr 5 min

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

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 shares how starting in QA and support gave him a unique edge in understanding users, why building a proper CI/CD pipeline should come before writing code, and how the AWS Community Builders program helped him grow into his current role. We also dive into: What DevOps culture actua...

May 19, 20251 hr 3 min

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

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 real-world projects beat theory every time, and why tools like ChatGPT are great assistants, but no substitute for structured learning and solid fundamentals. Follow Deepak on LinkedIn: https://www.linkedin.com/in/deepak-goyal-93805a17/ Check out AzureLib: azurelib.com Learn Data...

May 08, 202549 min

#119 Recruiting is harder than I thought

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 make the process smoother for everyone involved, focusing on fresh job listings and fostering connections with hiring managers who need skilled engineers. My goal? To secure five job placements in Germany by year’s end! Have thoughts on today’s job market, or tried the Easy Apply fe...

Nov 04, 202410 min

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

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 expert on freelancing for engineers, particularly in the data space. We dive into Ben's journey from being a full-time engineer to making the switch to freelancing, how he built his own business, and the unique challenges freelancers face in this space. We also explore how to break i...

Oct 25, 202455 min

#117 We Are Starting a Recruiting Service!

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 help engineers find their next career move while connecting companies with top talent. Tune in to hear more about how the Academy, Coaching, and now recruiting fit together into one ecosystem designed to support your career growth. Let me know your thoughts in the comments—are y...

Oct 18, 202411 min

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

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 it really that hard? I’ll break down the two main things you need to focus on when modeling data and explain why, once you’ve got those down, the rest falls into place.

Sep 23, 20246 min

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

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, like Python, SQL, and Spark, that are essential in the field.Mezue also shares his experience running an Azure Databricks bootcamp and offers advice on how to break into Data Engineering, especially in Cloud environments. We also touch on the challenges of finding junior roles a...

Sep 20, 202439 min

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

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 spend analytics job, and how that led to her founding her own business focused on dirty data. Susan shares the unique challenges businesses face with poor data quality, explaining why 99.9% of data problems are actually people problems. We also explore practical ways to deal with the...

Sep 16, 202449 min

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

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 serverless infrastructure versus traditional servers, discussing the pros and cons of both approaches, particularly in the context of scalability, cost, and maintenance. Paolo also shares his hands-on experience with time series databases, explaining their advantages in handling mass...

Sep 09, 202434 min

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

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 the question of test-driven development (TDD) came up during a Q&A. It stuck with me, so I thought it would be a great topic to dive deeper into. I’ll explain the key benefits of TDD, like improved code quality and easier refactoring, and why, despite its advantages, it’s not ...

Sep 06, 202419 min

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

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 at Mostly AI, who shares his expertise on how synthetic data can revolutionize the way we handle sensitive information, particularly in the context of privacy regulations like GDPR and CCPA. We discuss the real-world applications of synthetic data, how it differs from traditional...

Sep 02, 202447 min

#110 Bootcamps vs Coaching

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 of each approach - from the structured, intensive nature of bootcamps to the personalized, flexible support of coaching, I’ll share insights to help you choose the right path for your career. I’ll also discuss the experiences of my current coaching students and what I’m focusing ...

Aug 30, 202426 min

#109 Why your data and goals matter more than tools!

In this episode of the Plumbers of Data Science podcast, I’m diving into what truly matters when building data platforms and pipelines. As engineers, it’s easy to get caught up in the latest tools, but real success starts with understanding your data sources and defining clear goals. I’ll walk you through the key questions to ask, from data retention to processing speeds and user needs.

Aug 23, 202417 min

#108 Why Apache Spark Is Such An Essential Skill - Hero Talk with Philipp Brunenberg

In this episode, we explore the essentials of learning and mastering Apache Spark. Joining me is Philip, an experienced Spark developer and educator, who shares his expert roadmap for becoming proficient in Spark. We discuss why Spark is a crucial tool for data engineers, how to set it up effectively, and the best approaches to start your Spark journey. Philip also highlights the importance of understanding Spark's internals, deploying real-world applications, and optimizing performance. He walk...

Aug 19, 202440 min

#107 The Future of Data Observability - Hero Talk with Ryan Yackel

In this Hero Talk episode, we explore the crucial topic of data observability, a field that has become essential for Data Engineers dealing with complex data pipelines. I am joined by my special guest Ryan Yackel from DataBand, who shares his insights and expertise on the subject. Ryan delves into the concept of data observability and its significance for Data Engineers, addressing common challenges faced in monitoring and maintaining data pipelines. He explains how DataBand helps in monitoring ...

Aug 12, 202454 min

#106 Should You Move to Germany for a Data Engineering Career?

In this episode of the Plumbers of Data Science podcast, I’m breaking down the real deal of working as a data engineer in Germany. Does it live up to the hype? Sure, we’ve got free education and solid health insurance, but what’s the actual cost of living here, and how much of your salary do you really take home after taxes? I’ll walk you through the numbers—from what you can expect to earn, to the surprising deductions that quickly eat away at your paycheck. Plus, I’ll explain why companies in ...

Aug 09, 202411 min

#105 Personal Branding in Data - Hero Talk with Kate Strachnyi

In this Hero Talk episode, we delve into the fascinating world of personal branding in data with our special guest, Kate Strachnyi, founder of DataCated.Join us as Kate shares her vast expertise in personal branding, drawing from her experience as an author and LinkedIn Learning instructor. We discuss the nuances of building a personal brand, both intentionally and organically, and explore practical strategies for leveraging social media to increase your visibility and credibility in the data sp...

Aug 05, 202454 min

#104 The Secret Why Time Series Databases Are Awesome - Hero Talk with Jeff Tao

In this Hero Talk episode, we explore the dynamic world of time series data and time series databases with a special guest, Jeff Tao, founder and CEO of TD Engine. Join us as Jeff shares his journey from designing smart devices to founding TD Engine, a leading time series database. We dive deep into the benefits and unique features of time series databases, practical use cases, and how they handle massive amounts of data generated by IoT devices, smart meters, and more.

Aug 02, 202455 min

#103 From India to the U.S.: Becoming a Data Engineer at Toyota - Hero Talk with Ayan Tiwari

In this Hero Talk episode, we dive into the inspiring journey of Ayan Tiwari, a Data Engineer at Toyota North America. Join us as Ayan shares his remarkable transition from being an undergrad in civil engineering in India to working for a major company like Toyota in the U.S. Ayan walks us through how he made this significant career switch, pursued his master’s degree in the U.S., and the fascinating projects he's currently working on.

Jul 29, 202431 min

#102 Data Tools & Platforms: Why you should always be skeptical

In this episode of the Plumbers of Data Science podcast, we explore why you should be skeptical of data platforms and tools. Using a LEGO Grogu set from Star Wars as an analogy, I reveal the hidden issues behind flashy exteriors: chaotic scaffolding, empty spaces, and missing features.I emphasize the importance of trying tools yourself, running benchmarks, and checking if they fit your use case. We also discuss the role of developer communities and frequent updates in improving these tools.Have ...

Jul 26, 20245 min

#99 Real Talk on GenAI & Large Language Models - Hero Talk with Harpreet Sahota

In this Hero Talk episode we dive into the exciting and evolving world of Generative AI and Large Language Models (LLMs) with a special guest, Harpreet Sahota. Join us as Harpreet shares his extensive knowledge and experience as a seasoned data scientist. We explore the transformative potential of Generative AI, practical applications, and the challenges that come with integrating these advanced models into various industries.

Jul 15, 202448 min

#97 Data Science Career AMA! - Hero Talk with Andrew Jones

In this Hero Talk episode we dive into the world of Data Science careers with a special Ask Me Anything (AMA) session. Join me as I welcome Andrew Jones, founder of the Data Science Infinity program. Andrew shares his journey from working at top tech companies such as PlayStation to founding his own academy. We discuss the current job market, the role of certifications, and how to build an effective resume and portfolio to stand out in a competitive field.

Jul 05, 202458 min
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