Learn Data Engineering

The ultimate Data Engineering Academy. Teaching you everything you need to become a Data Engineer or add Data Engineering to your skillset. Proven system through my 10+ years of experience, over 2,000 students, over 50hours of video training material.

Founder

Udemy

I create free data & AI courses on Udemy for Data Engineers, Analysts, Scientists and beginners.

Course Author & Instructor

Kretz Media

At Kretz Media, we help innovative companies share their story and connect with the right audience. We specialize in creating authentic, high-impact content that makes complex topics understandable – and your brand unforgettable.

Whether it's a YouTube product demo, a livestream, a branded online course, or a strategic LinkedIn campaign – we turn your innovation into media that resonates.

LinkedIn

In this course you learn everything you need to know to design a NoSQL graph database and implement it in the cloud.

LinkedIn Learning Instructor

Bosch Rexroth

Data Lab Team Lead

Data Engineering Team Lead

Data Engineer

SALT Solutions GmbH

SAP Consultant

Hey there! I'm Andreas Kretz, your dedicated guide to the exciting realm of Data Engineering and the founder of the Learn Data Engineering Academy. With over years of specialized coaching experience, I've had the pleasure of helping more than 2,000 students reach their goals in this essential field.

I bring over 8 years of experience in Corporate Data Science, 14+ years in Computer Science and IoT, and a robust background as a Data Engineering and Data Labs Team Lead. My journey in Data Engineering has garnered global recognition, including being named a LinkedIn Top Voice in Data Science & Analytics in 2018, 2019, and 2024.

Here's what I do:
➡️ Learn Data Engineering Academy
I’ve trained over 2,000 students through my Academy, offering 30+ in-depth courses and projects with over 55 hours of video content, covering everything you need to excel in Data Engineering.

➡️ Media Work
In 2024, I helped my media partners achieve significant brand awareness, resulting in 1.21 million post views on LinkedIn, 250,000 video views on YouTube, and 235,000 sent emails with a 40% open rate. My efforts have built a vast network of over 100,000 engineers and scientists.

➡️ YouTube
On my YouTube channel, I simplify complex Data Engineering concepts and share valuable insights from the Academy. Join me for livestreams with industry experts, workshops, tool reviews, and deep dives into the latest architectures. It’s your go-to source for staying ahead in the data world.

If you're passionate about Data Engineering, eager to learn, or curious about the latest tools and techniques, hit subscribe. Let's explore the world of Data Engineering together!

Andreas Kretz

JPMorganChase

Associate Vice President

Pitney Bowes

Lead the Data Engineering, DevOps & Application Development. Build Hybrid Data-pipeline to process data coming from various sources in batch & real-time mode, using Pyspark, Kinesis, Firehose, Elasticsearch. Developed highly scalable microservices to provide Real-time Predictions with an Inference Pipeline using Python, Flask, Sagemaker, ECS, Lambda, API Gateway
Innovate the automation of MLbased Product Lifecycle using CI/CD
Design & Implement ML DevOps As A Service using Airflow, Jupyter Notebook, Sagemaker, Lambda, EMR. Build Data-Science analytics platform & ML frameworks for an end-to-end operationalization of Data Science projects. Part of Architectural design decisions making. Responsible for the Advancement of application development & DevOps practices

Advisory Cloud Big Data Engineer

Improvised data preparation step by building distributed batch processing based data-pipeline
Worked on real-time data processing using Kafka Streaming API
Implemented Disaster recovery setup using Confluent mirroring-based solution for real-time streaming. Improved data modeling, introduced the column-based DB approach in the data processing layer. Involved in designing & developing Next-gen solutions, a unified model that can cater to both batch and streams data

Big Data Developer

Rolta India Limited

Assembling large, complex sets of data that meet non-functional and functional business requirements. Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes  . Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition 
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

AWS Big Data Engineer

Capgemini

ETL development and maintenance in DataStage and Oracle 12 database. Data warehouse production support on IBM DataStage, job automation on Unix shell script. designing the architecture of a big data platform maintaining data pipeline
customizing and managing integration tools, databases, warehouses, and analytical systems
managing and structuring data. Setting up data-access tools for data scientists

ETL Specialist

Associate Consultant

Seasoned Data Creator with:
Data Engineering Skills -Pyspark, Databricks/Snowflake, Apache NiFi, Spark, Scala, SQOOP, NoSQL - MongoDb, Hive, PyLab, Python/Shell-Scripting, Jupyter Notebook, Data Grinches, Apache Drill, Cluster and Factor Analysis.
Experience- Lead the Data Engineering, DevOps & Application Development. Build Hybrid Data-pipeline to process data coming from various sources in batch & real-time mode, using Pyspark, Kinesis, Firehose, Elasticsearch. Developed highly scalable microservices to provide Real-time Predictions with an Inference Pipeline using Python, Flask, Sagemaker, ECS, Lambda, API Gateway. Innovate the automation of MLbased Product Lifecycle using CI/CD
Design & Implement ML DevOps As A Service using Airflow, Jupyter Notebook, Sagemaker, Lambda, EMR. Build Data-Science analytics platform & ML frameworks for an end-to-end operationalization of Data Science projects. Part of Architectural design decisions making. Responsible for the Advancement of application development & DevOps practices

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The Battle

Andreas Kretz

Abhinav Srivastava

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