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Services

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Digital Product
4.9

End-to-End Azure Data Engineering Industry Project

Azure Data Engineer kind of end-to-end projects
FREE
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Digital Product
4.8

Power BI Projects and Materials!

Power BI Real Time Practical Sources.
FREE
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Digital Product
4.8

Full Stack Azure Data Engineering Roadmap 2026-27!

Self taught!
FREE
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Digital Product
4.9

Cloud Data Engineering Materials and Resources!

A data engineer is responsible ETL.
0300
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Video meeting . 60 mins
4.8

Resume Review

Learn how to write a resume summary.
100400
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Video meeting . 60 mins
5

Career Guidance in Data Field.

400500
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Video meeting . 45 mins
4.8

Mock Interview

It is a practice interview for a job interview.
400600
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Digital Product
5

SQL Scenario Based Industry Level Real Time...

These scenarios help professionals develop problems...
FREE
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Digital Product

Data Engineering System Design

Design scalable systems to ingest, process, and store data.
FREE
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Digital Product

Airflow

29
Best Seller
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Digital Product
4.8

ATS Resume for Data Engineer

Here's a concise and ATS-friendly for a Data Engineer resume
0100
Popular
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Video meeting . 120 mins
5

Building Portfolio Website & GitHub Page!

It is a type of website that showcases your work.
400
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Video meeting . 60 mins
5

1:1 Mentorship

400600
Popular

Ratings and feedback

Testimonial Cover
4.9/5
228 ratings
212
Testimonials
5/5
This roadmap was very useful for me as a beginner. It contains very clear pathway, topics to cover,structured modules including useful resources, project ideas.Covering all necessary things for an azure data engineer. Mainly I got clarity regarding the tools and their usecases. Thanks alot for guiding me.
5/5
The End-to-End Azure Data Engineering project demonstrates strong real-world expertise in building scalable cloud data pipelines. The implementation covers data ingestion, transformation, storage, and analytics using Azure services, reflecting industry best practices. The project shows a clear understanding of data architecture, performance optimization, and production-ready solutions.”
5/5
The content is well-structured, easy to understand, and very practical. It helped me gain clear insights and apply the learnings immediately. Definitely worth the investment and highly recommended for anyone looking to upskill.
4/5
Really appreciated our conversation today. Your guidance was super helpful and clarified a lot of things I was stuck on. Loved how practical and honest the advice was. Feeling much more confident about my direction now. Thanks for sharing the resource links and taking the time to mentor me! Will meet in Hyderabad soon, Ganesh 🙌
5/5
I recommend this Azure end to end project to any aspiring or even experienced Data Engineer who can get min 3 years of experience of working in this domain. The project is clearly explained step by step. It is very helpful and clear all doubts regarding the subject and it will help to clear any interview with confidence. Thank you Ganesh for this wonderful material.
5/5
Excellent collection covering Azure DE, fabric and streaming content kudos to your work Really helpful in getting hands on experience keep posting Awaiting more from you
5/5
The Cloud Data Engineering materials shared by Ganesh were extremely helpful. The content was practical, well-organized, and easy to understand. Highly recommended!
5/5
Under Ganesh Garu's guidance, my journey in Data Analytics was incredibly insightful. His mentorship provided invaluable direction and knowledge, enriching my understanding of the field. His support fueled my passion for leveraging data to solve problems

About me

Experienced in providing executing data-driven solutions to increases efficiency, accuracy and perform data processing full life-cycle development projects, highly skilled in Data Visualization, Data Science, Machine Learning and Deep Learning. Experience in architect with Machine Learning, Deep Learning with Python. Deep Learning Techniques includes RNN, Advanced RNN with LSTM. Extensive knowledge Up-Skilled in libraries such as Tensor-flow 2.X, Sklearn, Numpy, Pandas, Matplotlib, Seaborn and Scipy.