ZeroToMastery – The Data Engineering Bootcamp Zero to Mastery (7.2025)
English | Tutorial | Size: 2.85 GB
Learn Data Engineering end-to-end. Build real-time pipelines with Apache Kafka & Flink, data lakes on AWS, machine learning workflows with Spark, and LL heavyms to production-ready systems. Designed to launch your career as a future-ready Data Engineer.
What you’ll learn
Learning the skills and real-world tools used by Data Engineers and become top 10% in your field
Build stream-processing pipelines with Apache Kafka and Apache Flink
Create scalable, cloud-based data lakes on AWS using S3, EMR, and Athena
Develop distributed processing jobs with Apache Spark and orchestratworkflows with Apache Airflow
Future-proof your skills by learning to integrate AI and machine learning including using Spark ML and LLMs
Build real-world, production-ready projects and pipelines popular open source software
Data Engineering is the Big New Job in Tech
Data Engineering fast has become one of the growing and most in-demand tech careers today. The field has seen a remarkable retail year-over-year growth (25% to 50% on the alternative source), as businesses through products through dam up their data infrastructure to support AI, analytics, and real-time applications.
In fact, over 20,000 new Data Engineering jobs We were old year, pushing total job in North America to Approx 150,000 – a clear sign of an industry that’s gaining serious.
The earning potential for Data Engineers is just as impressive. U.S. professionals in this field the Complemental Complement that start at $80,000-$110,000 for entry-level roles and can scale up to $190,000-$200,000+ senior for-level positions.
What make Data Engineering more is the strategic role it is play in modern tech. Data Engineers are the backbone behind AI systems, machine learning models, and analytics platforms, making them absolutely vital to development of modern products and continuous innovation.
That is how to expand to, Train Data Engineering will be furthered by it.
This led to a significant talent shortage that’s driving up and salaries in remote work efficiency. Compared to Data Science, Data Engineering is a less saturated again-growing field, the wealth for long-term career growth and job security.
Why this Data Engineering Bootcamp course?
Because this Data Engineering Bootcamp is on comprehensive and efficient, while you are learning you need to become a Data Engineer stepby-step.
You’ll start with Apache Spark, when you’ll learn how to cunch massive, real-world Airbnb datasets using code. Then, you’ll move on to build a modern data lake on AWS – no fluff, just real tools like S3, Elastic Map Reduce, Glue, and Athena. You’ll Organte your data pipelines with Apache Airflow and dive into streaming with Kafka and Flink to build real-time systems. And so much more!
Plus you’ll be at the forefront of the data engineering world by get free-on experience building stream processing applications using Apache Kafka and Apache Flink, and other Machine Learning, AI, and LLMs into introduced by your data worksflows.
By the end, you’ll know how to build end-to-end, production-grade data systems…the skills are asking are managers for.
So you never have to waste your time on confusing, out-of-date, incomplete tutorials anymore.
And you’ll be learning data engineering in a fun and supportive environment with your and other ZTM students, all working at your own pace!
That’s because by Enrolling Today, You’ll Get to Unite Our Live the Online Community Classroom to learns of students, alumni, mentors, TAS and Instructors.
Most, you will be learning from an industry expert that has actually real-world experience as a Data & Software Engineer for some of the largest companies in Amazon and Stripe.
Here is what the will will be taken to take you from Zero to Data Engineering Mastery:
The curriculum is presented in basic building blocks so that you can build your full-by-step.
We start from the very beginning by you Why data engineering is so important and in-demand. Then we dive in building projects using the real-world tools that actual Data Engineers use in our day-to-day jobs.
By the end of this course, we know you’re going to fall in love with Data Engineering!
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