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The Complete Data Engineering Career Path Bundle

One bundle, every skill you need to launch and accelerate your data engineering career.

zł374.85 zł2,208.85 (You save zł1,834.00)

Who This Career Path Bundle Is Designed For

Aspiring data engineers who need a complete, structured path- from fundamentals to cloud, pipelines, and lakehouse systems.
Early-career engineers or developers switching fields who want hands-on, practical guidance across Python, dbt, ETL, orchestration, and multi-cloud platforms.
Engineers aiming for a career upgrade into advanced roles involving Spark, Databricks, Snowflake, AWS, Azure, and GCP.
Professionals preparing for interviews and needing both conceptual depth and real engineering examples.
Learners who want one unified resource instead of juggling separate courses, docs, and scattered tutorials across tools and vendors.

Skills You’ll Build from Beginner to Production-Ready

Master the foundations - Python pipelines, ingestion patterns, ETL design, dbt transformations, and core data modeling.
Build cloud-native data systems in AWS, Azure, GCP, and Snowflake, including ingestion, storage, compute, and warehouse design.
Engineer modern lakehouses using Spark, Delta Lake, Databricks, and open table formats for scalable analytics and ML.
Orchestrate reliable pipelines with Apache Airflow and production-ready workflow best practices.
Prepare for real-world roles & interviews with architecture patterns, scenario-based problem solving, and end-to-end platform thinking.

Titles included in this bundle

Data Engineering with Python

Data Engineering with Python

This book is a comprehensive introduction to building data pipelines, that will have you moving and transforming data in no time. You'll learn how to build data pipelines, transform and clean data, and deliver it to provide value to users. You will learn to deploy production data pipelines that include logging, monitoring, and version control.

Oct 2020 356 pages

eBook zł34.98

Data Engineering with dbt

Data Engineering with dbt

This book shows you how dbt makes it easy to build professional data platforms using simple SQL. You'll learn about the use of patterns, tests, and architecture in dbt to break the complexity of a data platform in its components, to let dbt handle the boilerplate code, and support automation and collaboration in your team with your git provider.

Jun 2023 578 pages

eBook zł34.98

Data Engineering with Databricks Cookbook

Data Engineering with Databricks Cookbook

This book shows you how to use Apache Spark, Delta Lake, and Databricks to build data pipelines, manage and transform data, optimize performance, and more. Additionally, you'll implement DataOps and DevOps practices, and orchestrate data workflows.

May 2024 438 pages

eBook zł34.98

Building ETL Pipelines with Python

Building ETL Pipelines with Python

Building ETL Pipelines in Python covers the process of creating robust and scalable ETL pipelines from scratch. The book explores all the tools and technologies available to create robust ETL pipelines along with real-world examples and practical implications.

Sep 2023 246 pages

eBook zł34.98

Data Ingestion with Python Cookbook

Data Ingestion with Python Cookbook

The Data Ingestion with Python Cookbook presents a collection of practical recipes to help you get started with the process of data ingestion from various sources or data files. This book offers a range of code recipes and solutions for creating efficient data ingestion pipelines while addressing common issues related to it.

May 2023 414 pages

eBook zł34.98

Cracking the Data Engineering Interview

Cracking the Data Engineering Interview

The book is a practical guide that'll help you prepare to successfully break into the data engineering role. The chapters cover technical concepts as well as tips for resume, portfolio, and brand building to catch the employer's attention, while also focusing on case studies and real-world interview questions.

Nov 2023 196 pages

eBook zł34.98

Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

Oct 2023 636 pages

eBook zł34.98

Data Engineering with Google Cloud Platform

Data Engineering with Google Cloud Platform

This book will help you delve into data governance on Google Cloud. Moreover, you'll also cover the latest technological advancements in the domain and be able to build and deploy data pipelines confidently.

Apr 2024 476 pages

eBook zł34.98

Data Modeling for Azure Data Services

Data Modeling for Azure Data Services

Data modeling for Azure Data Services teaches you the core concepts of setting up different types of databases for different use cases. With this hands-on guide, you'll learn how to implement the resulting data model in Azure efficiently.

Jul 2021 428 pages

eBook zł34.98

Data Modeling with Snowflake

Data Modeling with Snowflake

Modeling guides are often steeped in theory. This book's innovative approach combines practical modeling concepts with Snowflake best practices and unique features - allowing you to create efficient designs that leverage the power of the Data Cloud.

Sep 2025 432 pages

eBook zł34.98

Data Engineering with Apache Spark, Delta Lake, and Lakehouse

Data Engineering with Apache Spark, Delta Lake, and Lakehouse

Discover the roadblocks you may face in data engineering and keep up with the latest trends such as Delta Lake. This book will help you learn how to build data pipelines that can auto-adjust to changes. Using practical examples, you will implement a solid data engineering platform that will streamline data science, ML, and AI tasks.

Oct 2021 480 pages

eBook zł34.98

Engineering Lakehouses with Open Table Formats

Engineering Lakehouses with Open Table Formats

This book will help you learn about open table formats and pick the right table format for your needs, blending theoretical understanding with practical examples to enable you to build, maintain, and optimize lakehouses in production.

Dec 2025 414 pages

eBook zł34.98

Data Wrangling on AWS

Data Wrangling on AWS

Data wrangling involves cleaning and organizing complex data sets for analysis. This book guides you in connecting to AWS services and using its data wrangling tools for effective data analytics, even when the data sources are multiple and organizing it might look challenging.

Jul 2023 420 pages

eBook zł34.98

Apache Airflow Best Practices

Apache Airflow Best Practices

With practical approach and detailed examples, this book covers newest features of Apache Airflow 2.x and it's potential for workflow orchestration, operational best practices, and data engineering

Oct 2024 188 pages

eBook zł34.98

The Definitive Guide to Data Integration

The Definitive Guide to Data Integration

The Definitive Guide to Data Integration is for data eclectics looking to explore the modern data stack. Complete with practical examples and insights, it covering tools, techniques, and best practices to unleash your data's potential.

Mar 2024 490 pages

eBook zł34.98

The Complete Data Engineering Career Path Bundle

One bundle, every skill you need to launch and accelerate your data engineering career.

zł374.85