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

•Context-Aware QA Chatbot: slashing client data retrieval time by 60% using 
Python, Langchain, and IBM Granite 3.2 LLM, integrating Elasticsearch for 
precise, data-driven answers from Proprietary datasets.
•Enterprise Scalability: End-to-End delivery (development through deployment) of 
scalable Generative AI and LLM solutions, customized to client workflows, 
demonstrably enhancing system performance and operational agility.
•Engineered autonomous AI agents using CrewAI and Llama 3.3, achieving a 40% improvement in decision making accuracy and response timeliness. Architected an intelligent framework that empowered the agent to dynamically select the optimal tool RAG for contextual data, a math tool for calculations, or real-time web search based on the user’s query. This multi-tool capability enabled robust, multi-step reasoning, allowing the agent to overcome base LLM limitations and deliver highly accurate, context-aware solutions.

AI Engineer

Thomson Reuters

•Developed all AI-driven Solutions in AWS cloud(Bedrock).
•GenAI Chatbot Development: Built and deployed AWS cloud-native (SageMaker, 
Bedrock) chatbots using Python, Langchain, and OpenAI (GPT-4 Turbo/GPT-4o), 
enhancing customer NPS score from 8 to 9 via transformer architectures and 
Advanced RAG.
•Enterprise Advanced AI Solutions: Engineered custom prompt workflows and 
Weaviate vector DB integration for optimized query processing, improving 
response accuracy by 25%+ using company-specific data.
•Customer feedback Insight Extraction: Leveraged NLP (Nltk) and LLMs to 
identify actionable pain points from unstructured text, driving data-backed 
product decisions.Leveraging this cutting-edge techniques to unlock hidden 
patterns and trends

Data Scientist

Convertcart

•Driven a 2% increase in overall sales and revenue by developing predictive 
models for customer engagement.
•Acquired and integrated datasets from multiple sources, performing rigorous 
Data Preprocessing to ensure data quality and accuracy.
•Conducted comprehensive Exploratory Data Analysis (EDA), Statistical Analysis, 
and Data Visualization to uncover key insights into customer behavior.
•Applied advanced Feature Selection techniques and Regression Modeling to 
build accurate predictive models for customer engagement scores.
•Implemented Unsupervised Learning (Customer Segmentation) to identify 
distinct customer groups, enabling targeted engagement strategies and 
optimized resource allocation.

Analyttica Datalab Inc.

•Developed and Dockerized deployment of an NLP solution using Python (NLTK, 
scikit-learn, TensorFlow) to automatically prioritize support tickets, significantly 
enhancing operational efficiency through Natural Language Processing.
•Delivered multi-million dollar cost savings and reduced ticket resolution time 
by 100 hours by accurately classifying priority issues using custom-built MLP 
models, demonstrating strong Predictive Modeling capabilities.
•Engineered robust end-to-end ML pipelines involving Text Preprocessing, 
Feature Engineering (word2vec, TF-IDF), and handling Imbalanced Data for 
Machine Learning model development.
•Implemented, evaluated (Model Evaluation), and optimized diverse ML algorithms 
(Logistic Regression, Decision Trees, Random Forest, Gradient Boosting) via 
Hyperparameter Tuning using Python (NumPy, pandas, scikit-learn).
•Managed the full MLOps cycle: instituted monthly model retraining, conducted 
A/B Testing for performance validation, and ensured continuous model 
monitoring in production using Deep Learning (TensorFlow) techniques.
•Proficiently presented technical solutions and impact analysis to stakeholder, 
translating complex Machine Learning technquies and Intelligent automation 
into business value (Stakeholder Communication)

AI Engineer @ IBM | 4 Yrs Exp. in ML, DL, DS, NLP, GenAI & Agentic AI | Ex-Thomson Reuters | VIT Alumni

Senior AI Engineer at IBM with a 4-years of track record of developing and deploying high-impact AI solutions. I thrive at the intersection of Machine Learning, Deep Learning, NLP, and the forefront of Generative AI. My toolkit includes Python, TensorFlow, Keras, and an advanced command of the modern NLP/GenAI ecosystem: LLMs, LangChain, RAG, prompt engineering, sophisticated fine-tuning, and vector databases,Tools,Agents.My analytical prowess is powered by Python (NumPy, Pandas, Matplotlib/Seaborn/Plotly), SQL, and robust data management practices. I am deeply passionate about pushing the boundaries of AI through continuous learning and creating innovative solutions.

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