Kiriaki Kelapostolou
Aspiring Data Analyst
The most valuable aspect of the project was the comprehensive hands-on experience it provided in building an end-to-end ETL data pipeline on Google Cloud Platform (GCP). Working on real-world scenarios and datasets allowed me to apply theoretical knowledge in a practical setting, reinforcing key concepts and best practices in data pipeline management and cloud computing. I would definetely recommend this project, because of the challenges encountered and resolved during the project enhanced my problem-solving abilities and deepen my understanding of cloud-based data solutions.
Jun 11, 2024
Konstantinos Patsaras
Python Developer @Upwork

The most valuable aspect of the project was the hands-on experience. All the chapters had detailed instructions and troubleshooting tips. I would absolutely recommend this project. Even for someone with prior experience, because it's always a good idea to go back to basics. Nevertheless, it is a great start to the field of Data Engineering in general.

May 20, 2024
Andreas Kalogeras
Data Analyst | BI Developer | M.s.C. Data Science and Machine Learning - ECE NTUA, Musician Data Analyst | BI Developer | M.s.C. Data Science and Machine Learning - ECE NTUA, Musician
This course not only broadened my understanding of the Google Cloud Platform but also strengthened my skills in data manipulation using Python and gave me a complete view of an ETL Data Pipeline designing. Special thanks to Michail Chionidis, founder of DataProjects.io
May 20, 2024
Evangelos Komnis
Student at International Hellenic University Student at International Hellenic University
"Build an ETL Data Pipeline on Google Cloud Platform" by DataProjects.io is a well-established, newcomer-friendly project. Ideal for those who want to deal with ETL (Extract, Transform, Load) processes, and the cloud (via GCP) and take their first steps in Data Engineering.
May 18, 2024
Alexandra Alexandridi
Software Engineer
I would recommend this project because of the following reasons: Very interesting and useful content, very easy to follow, excellent support!
May 18, 2024
Vasileios Angelopoulos
Undergraduate Student
I really enjoyed getting experience with cloud and its properties. This course helped me understand Python better and how to use it. Additionally, I loved the part about data visualization and found it very useful. I now understand deeply the importance of Cloud Storage and BigQuery, as well as the deployment of functions that are triggered. I am very proud of this. I would recommend the project to others because is a project which learn to someone many things about data and new technologies like cloud and python .
May 18, 2024
Vangelis Karasas
Innovative ERP Consultant with 1,5 years of experience in ERP technologies. Innovative ERP Consultant with 1,5 years of experience in ERP technologies.
I just completed my first project in Cloud technologies! With ETL processes and the Python programming language as a tool, we managed to build a data pipeline that connects and updates our data in the Google Cloud. From the automatic renewal of our data daily, to their processing and finally to their storage / presentation to users. Many thanks to Michail Chionidis for the excellent platform he has built.
May 17, 2024
Panagiotis Kosmas
MEng - Electrical Engineering and Computer Science MEng - Electrical Engineering and Computer Science
I'm excited to announce that I've recently completed the "Build an ETL Data Pipeline on Google Cloud Platform" certification course from DataProjects.io! DataProjects.io offers a platform designed to accelerate career growth, providing hands-on Data Engineering Projects with clear instructions to enhance your skills. This course not only expanded my knowledge of Google Cloud Platform but also allowed me to reinforce my expertise in data manipulation processes using Python. I owe special thanks to my friend Michail Chionidis, the driving force behind DataProjects.io. His dedication to continuous learning has been truly inspiring. I encourage you to explore this platform and embark on your own journey of learning and growth!
May 11, 2024
Sotiris Adamos
Account Executive at Medusa Marketing Account Executive at Medusa Marketing
I’m happy to share that I’ve obtained a new certification: Build an ETL Data Pipeline on Google Cloud Platform from DataProjects.io! This program provided a hands-on approach to data pipelines, allowing me to develop skills in data extraction using APIs, deployment on GCP (including Cloud Storage, Cloud Functions, BigQuery, Cloud Scheduler, and IAM), and interactive data visualization with Looker Studio. I particularly enjoyed working on projects that involved: 🔹 Extracting data from a Public API 🔹 Deploying the entire pipeline on GCP utilizing various services 🔹 Creating user-friendly dashboards using Looker Studio A huge shoutout to my instructor, Michail Chionidis, for their guidance and support throughout the course!
May 15, 2024
Andreas Kalogeras
Data Scientist/Analyst

This is the first time in such a short course (I finished it in roughly 5 hours) that I fully understood what exactly an ETL pipeline consists of. I used to think it was much more complicated. Also, the examples and the fact that the code is ready just in case someone is stuck is very helpful.


Thank you very much, this effort is huge and VERY helpful. MANY MANY congratulations. I look forward to the next one!! :)

May 17, 2024
Vaggelis Karasas
Innovative ERP Consultant with 1,5 years of experience in ERP technologies.

The project structure and everything I have seen is excellent. The usage of Google Cloud Platform has been helpful and encouraging. Personally, it helped me understand it better and not be afraid of starting projects with the cloud. The tools of the cloud that we used in this project have been explained in a very nice way.


I would definitely recommend it to someone who would want to get some knowledge on the Google Cloud platform as it showcases some real-life exercises. I wouldn't recommend it though to someone who wants to learn in-depth about everything that the platform has( Billing is an example)


I want to thank you again for giving me the opportunity. I'm waiting for the next one!

May 11, 2024
Anestis Zagkakis
Software Engineer
Τhis project focuses on the essence of developing a project rather than details. It also presents tools useful for other applications. It gives you, and teaches you, a way of working in basic steps.
May 16, 2024
Sotiris Adamos
Account Executive at Medusa Marketing Account Executive at Medusa Marketing

I would definitely recommend this project. As a beginner in data engineering, I found out that this was a complete process of how a data engineer works. 


The project is real-world and the usage of it is great. I understood how a well-structured code is working, from handling errors to commenting on the functionality of each line. The other big part was the usage of GCP, which I haven't used in the past. 


Other comments: 

- The project is really well-structured. Comments, explanations, everything. 

- The videos for the usage of Looker Studio are really good. (quality, sound, explanation) 

 - The support during the process is excellent and really helpful. 

- Also, the debugging of the project was really good and fast regarding the changes in the code. Keep it up!!

May 15, 2024
George Kallidis
Sales Engineer
The most valuable aspect of the project was that I learned how to extracting data from an API, upload clean data to BigQuery, and create interactive dashboards with Looker Studio. I would definitely recommend this project to others as it helps you learn by building a hands-on real project.
May 13, 2024
Panagiotis Kosmas
MEng - Electrical Engineering and Computer Science MEng - Electrical Engineering and Computer Science linkedin logo
The most valuable aspects of the project are on the one hand, the data manipulation with Python code and the extraction from the external API, and on the other hand and most importantly, the familiarization with the Google Cloud Platform! The details about the functionalities that the platform provides are tremendously significant for me. I would recommend it because it is 100% professional, better than more other paid courses out there. It is descriptive, in-details, informative, well structured, to-the-point for Data Engineering processes.
May 11, 2024
Kiriaki Kelapostolou
Aspiring Data Analyst
The most valuable aspect of the project was the comprehensive hands-on experience it provided in building an end-to-end ETL data pipeline on Google Cloud Platform (GCP). Working on real-world scenarios and datasets allowed me to apply theoretical knowledge in a practical setting, reinforcing key concepts and best practices in data pipeline management and cloud computing. I would definetely recommend this project, because of the challenges encountered and resolved during the project enhanced my problem-solving abilities and deepen my understanding of cloud-based data solutions.
Jun 11, 2024
Konstantinos Patsaras
Python Developer @Upwork

The most valuable aspect of the project was the hands-on experience. All the chapters had detailed instructions and troubleshooting tips. I would absolutely recommend this project. Even for someone with prior experience, because it's always a good idea to go back to basics. Nevertheless, it is a great start to the field of Data Engineering in general.

May 20, 2024
Andreas Kalogeras
Data Analyst | BI Developer | M.s.C. Data Science and Machine Learning - ECE NTUA, Musician Data Analyst | BI Developer | M.s.C. Data Science and Machine Learning - ECE NTUA, Musician
This course not only broadened my understanding of the Google Cloud Platform but also strengthened my skills in data manipulation using Python and gave me a complete view of an ETL Data Pipeline designing. Special thanks to Michail Chionidis, founder of DataProjects.io
May 20, 2024
Evangelos Komnis
Student at International Hellenic University Student at International Hellenic University
"Build an ETL Data Pipeline on Google Cloud Platform" by DataProjects.io is a well-established, newcomer-friendly project. Ideal for those who want to deal with ETL (Extract, Transform, Load) processes, and the cloud (via GCP) and take their first steps in Data Engineering.
May 18, 2024
Alexandra Alexandridi
Software Engineer
I would recommend this project because of the following reasons: Very interesting and useful content, very easy to follow, excellent support!
May 18, 2024
Vasileios Angelopoulos
Undergraduate Student
I really enjoyed getting experience with cloud and its properties. This course helped me understand Python better and how to use it. Additionally, I loved the part about data visualization and found it very useful. I now understand deeply the importance of Cloud Storage and BigQuery, as well as the deployment of functions that are triggered. I am very proud of this. I would recommend the project to others because is a project which learn to someone many things about data and new technologies like cloud and python .
May 18, 2024
Vangelis Karasas
Innovative ERP Consultant with 1,5 years of experience in ERP technologies. Innovative ERP Consultant with 1,5 years of experience in ERP technologies.
I just completed my first project in Cloud technologies! With ETL processes and the Python programming language as a tool, we managed to build a data pipeline that connects and updates our data in the Google Cloud. From the automatic renewal of our data daily, to their processing and finally to their storage / presentation to users. Many thanks to Michail Chionidis for the excellent platform he has built.
May 17, 2024
Panagiotis Kosmas
MEng - Electrical Engineering and Computer Science MEng - Electrical Engineering and Computer Science
I'm excited to announce that I've recently completed the "Build an ETL Data Pipeline on Google Cloud Platform" certification course from DataProjects.io! DataProjects.io offers a platform designed to accelerate career growth, providing hands-on Data Engineering Projects with clear instructions to enhance your skills. This course not only expanded my knowledge of Google Cloud Platform but also allowed me to reinforce my expertise in data manipulation processes using Python. I owe special thanks to my friend Michail Chionidis, the driving force behind DataProjects.io. His dedication to continuous learning has been truly inspiring. I encourage you to explore this platform and embark on your own journey of learning and growth!
May 11, 2024
Sotiris Adamos
Account Executive at Medusa Marketing Account Executive at Medusa Marketing
I’m happy to share that I’ve obtained a new certification: Build an ETL Data Pipeline on Google Cloud Platform from DataProjects.io! This program provided a hands-on approach to data pipelines, allowing me to develop skills in data extraction using APIs, deployment on GCP (including Cloud Storage, Cloud Functions, BigQuery, Cloud Scheduler, and IAM), and interactive data visualization with Looker Studio. I particularly enjoyed working on projects that involved: 🔹 Extracting data from a Public API 🔹 Deploying the entire pipeline on GCP utilizing various services 🔹 Creating user-friendly dashboards using Looker Studio A huge shoutout to my instructor, Michail Chionidis, for their guidance and support throughout the course!
May 15, 2024
Andreas Kalogeras
Data Scientist/Analyst

This is the first time in such a short course (I finished it in roughly 5 hours) that I fully understood what exactly an ETL pipeline consists of. I used to think it was much more complicated. Also, the examples and the fact that the code is ready just in case someone is stuck is very helpful.


Thank you very much, this effort is huge and VERY helpful. MANY MANY congratulations. I look forward to the next one!! :)

May 17, 2024
Vaggelis Karasas
Innovative ERP Consultant with 1,5 years of experience in ERP technologies.

The project structure and everything I have seen is excellent. The usage of Google Cloud Platform has been helpful and encouraging. Personally, it helped me understand it better and not be afraid of starting projects with the cloud. The tools of the cloud that we used in this project have been explained in a very nice way.


I would definitely recommend it to someone who would want to get some knowledge on the Google Cloud platform as it showcases some real-life exercises. I wouldn't recommend it though to someone who wants to learn in-depth about everything that the platform has( Billing is an example)


I want to thank you again for giving me the opportunity. I'm waiting for the next one!

May 11, 2024
Anestis Zagkakis
Software Engineer
Τhis project focuses on the essence of developing a project rather than details. It also presents tools useful for other applications. It gives you, and teaches you, a way of working in basic steps.
May 16, 2024
Sotiris Adamos
Account Executive at Medusa Marketing Account Executive at Medusa Marketing

I would definitely recommend this project. As a beginner in data engineering, I found out that this was a complete process of how a data engineer works. 


The project is real-world and the usage of it is great. I understood how a well-structured code is working, from handling errors to commenting on the functionality of each line. The other big part was the usage of GCP, which I haven't used in the past. 


Other comments: 

- The project is really well-structured. Comments, explanations, everything. 

- The videos for the usage of Looker Studio are really good. (quality, sound, explanation) 

 - The support during the process is excellent and really helpful. 

- Also, the debugging of the project was really good and fast regarding the changes in the code. Keep it up!!

May 15, 2024
George Kallidis
Sales Engineer
The most valuable aspect of the project was that I learned how to extracting data from an API, upload clean data to BigQuery, and create interactive dashboards with Looker Studio. I would definitely recommend this project to others as it helps you learn by building a hands-on real project.
May 13, 2024
Panagiotis Kosmas
MEng - Electrical Engineering and Computer Science MEng - Electrical Engineering and Computer Science linkedin logo
The most valuable aspects of the project are on the one hand, the data manipulation with Python code and the extraction from the external API, and on the other hand and most importantly, the familiarization with the Google Cloud Platform! The details about the functionalities that the platform provides are tremendously significant for me. I would recommend it because it is 100% professional, better than more other paid courses out there. It is descriptive, in-details, informative, well structured, to-the-point for Data Engineering processes.
May 11, 2024
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