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During my 5 years of data science experience at General Motors, Royal Bank of Canada and TELUS, I've successfully delivered multi-million dollar data science and automation projects at scale. I have strong knowledge of machine learning, statistics, A/B testing, optimization, time series analysis and distributed computing and I am highly …

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Experienced Data Engineering professional with very strong Data Analytics,SQL,Data reporting skills.Experience with Big data technologies Hadoop,Hive and Spark. Can mentor with career, interviews ,growth ,opportunities and any kind of general advise. If you are venturing/starting or planning to move into data engineering role (or moving from a ETL role ), …

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Passionate about the transformative power of AI, I help top-level executives and high-tech leaders accelerate their cloud-based AI/ML and Generative AI initiatives. With 10+ years of experience across diverse industries, including roles at Google, AWS, DataScientest, Devoteam, and Capgemini, I bring a unique blend of technical expertise and strategic vision …

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If you are looking for someone with experience in Cloud & DevOps Engineering, that's me! I am a skilled professional with a passion for staying ahead of the curve. Part of my day-to-day job is to build scalable Infrastructure as Code Solutions using Terraform and Terragrunt, Pipeline Configuration with CircleCI, …

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Expertise in enabling, developing and deploying robust end-to-end data pipelines and machine learning models that have real world impact on a regular basis. Over the years, I have had the opportunity to work with and learn from some of the best minds at prestigious organizations like Mercedes-Benz and General Motors. …

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I completed a full spectrum accounting education from my bachelor's, master's, CPA to working at a big accounting firm. This was all in a half-hearted attempt to rebel against my parent's wanting me to be a doctor/lawyer. In the end, I lost years of doing the work I actually love: …

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My expertise is architecting large-scale, fault-tolerant distributed systems, leading teams (~20 people), and entrepreneurship in B2B SaaS (FinTech). - Head of architecture at Truewind.ai (YCW23) (FinTech). Joined as 1st engineer hire and grew the company from seed to series A. - Co-founded TAOS.ai (FinTech) in 2022 as the CTO. Raised …

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Hi there 👋 ^^ I'm Aymen and I'm a dedicated Platform / Site Reliability Engineering Leader with over a decade of experience in architecting, building, deploying, and managing large-scale Cloud platforms and Kubernetes/Containers environments. I'm a proven leader in driving Cloud Native transformations, enhancing SRE practices, and ensuring secure, efficient, …

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Discover more Data Engineering trainers

Best books to build Data Engineering understanding.

A well-written and thorough book can be an amazing path to build deeper understanding and also act as a handbook as you discover the internet's vast resources.

These are our and our expert's top picks to get started building relevant skills to widen your career options.

Data Engineering Cookbook

Data Engineering Cookbook

Five types of content are in this book: Articles the author wrote, links to his podcast episodes (video & audio), more than 200 links to helpful websites he like, data engineering interview questions and case studies.

Database and Expert Systems Applications

Database and Expert Systems Applications

The Database and Expert Systems Application -DEXA - conferences are mainly oriented to establish a state-of-the art forum on Database and Expert System applications. But Practice without Theory has no sense, as Leonardo said five centuries ago. In this Conference we try a comprornise between these two complementary aspects. A total of 5 sessions are application-oriented, ranging from classical applications to more unusual ones in Software Engineering.

The Data Warehouse Toolkit

The Data Warehouse Toolkit

One of the most dramatic new developments in database design, the dimensional data warehouse is a powerful database model that.significantly enhances managers' ability to quickly analyze large, multidimensional data sets. Written by the leading proponent of this revolutionary new approach, this valuable book/CD toolkit outfits you with all the nuts-and-bolts information you need to design, build, manage, and use dimensional data warehouses for virtually any type of business application, as well as software for querying dimensional data warehouses.

Big Data

Big Data

Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built.


Designing Data-Intensive Applications

Designing Data-Intensive Applications

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?

Data Pipelines Pocket Reference

Data Pipelines Pocket Reference

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack.

Advanced Topics in Database Research

Advanced Topics in Database Research

Advanced Topics in Database Research is a series of books on the fields of database, software engineering, and systems analysis and design. They feature the latest research ideas and topics on how to enhance current database systems, improve information storage, refine existing database models, and develop advanced applications.

Courses to deepen your Data Engineering skills.

These days, online courses are no longer just a sequence of videos. They are usually accompanied by projects and a learning community, career advice, keeping you accountable and on the path.

Our experts recommend these courses, from free selections to paid programs.

Data Engineering Foundations

Data Engineering Foundations

Build the Foundation for a Data Engineering Career. Develop hands-on experience with Python, SQL, and Relational Databases and master the fundamentals of the Data Engineering ecosystem.

Advanced Database Administration

Advanced Database Administration

Learn the fundamentals of administering relational database management systems, including managing concurrency and creating objects in the database

Data Engineering

Data Engineering

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project.

Data Engineering on Google Cloud platform

Data Engineering on Google Cloud platform

End to end batch processing,data orchestration and real time streaming analytics on GCP

Introduction to Data Engineering

Introduction to Data Engineering

Learn about the world of data engineering with an overview of all its relevant topics and tools!

Data engineering and smart analytics

Data engineering and smart analytics

The need for data analysis skills grew by 86% from 2013 to 2018. 1 Become data-driven with Google Cloud. Leverage data and gain real-time insights that improve your decision-making and accelerate innovation. Learn how to design and build data processing systems.

Data Engineering Career Path

Data Engineering Career Path

Data engineering has seen explosive growth recently as more industries depend on data to drive key business decisions. Take advantage of the surge in demand by becoming a data engineer with Dataquest.

Why you should book a Data Engineering training on MentorCruise

MentorCruise is a career mentorship platform that offers a risk-free trial with each training. We believe that you should be able to test the waters and build confidence before committing to a long-term relationship.

Learn about leading Data Engineering methodologies
Expand your horizon and learn more about the Data Engineering landscape from an expert trainer that has been in your shoes before.
Level up your Data Engineering understanding
Data Engineering is a powerful tool in your arsenal, but it's easy to fall behind the pack. Study advanced topics and stay accountable through a dedicated Data Engineering training.
Speed up your progress
It's not easy to self-teach through online classes. Get the help you need to speed up your Data Engineering progress and reach your goals faster.

Unleash your potential

There’s no match to having a trusted go-to source for addressing your career-specific needs. MentorCruise comes in to give you access to industry-veterans who have been in your place and know exactly what you need.

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