From Seismic Data to Data Engineering - How Adnen successfully managed his professional transformation
Learn Data Engineering
We teach Data Engineering and help companies recruit top talent
Meet the students of the Learn Data Engineering Academy - a group of passionate individuals who are dedicated to mastering the art of data engineering. In this mini series of success stories, we will explore the journeys of these students, from their initial interest in data engineering to their current success in the industry. Join us as we celebrate their achievements and inspire others to pursue their dreams in the world of data engineering.
Adnen Messaoudi, a senior seismic observer from Tunisia, is embarking on a remarkable career transformation from the world of seismic data collection to data engineering. With a strong background in the oil industry, specifically in seismic data acquisition, Adnen is now determined to make a career change and become a data engineer.
Having worked in the first chain of the “Big Data” process, which involves collecting measurement data, Adnen brings valuable experience and insights to the field of data engineering. With a desire to expand his skills and transition into a new role, he began searching for profound data engineering training and courses.
Searching for Profound Data Engineering Training
During his research, Adnen explored various platforms such as YouTube, LinkedIn, Reddit, and Quora. While he came across resources like Data Engineering Nanodegree on Udacity and Data Engineering with Python on Coursera, many of them fell short, either lacking practical projects or affordability. However, Adnen’s perseverance led him to Andreas Kretz on YouTube, where he discovered the Learn Data Engineering Academy.
What convinced Adnen to enroll in the Learn Data Engineering Academy were the remarkable content and the unique data platform blueprint shared by Andreas. This blueprint covered crucial aspects such as establishing connections, buffering, processing, storage, and visualization, and demonstrated its applicability in various environments, including local and cloud platforms. Adnen recognized the similarity between this approach and the data-sharing practices in his previous industry, which solidified his decision to choose the academy for his professional training.
Focusing on Essential Skills and Hands-On Projects
In his pursuit of becoming a data engineer, Adnen has placed his focus on courses that are highly valued in the industry. These include Spark, Kafka, SQL, NoSQL, Elasticsearch, and exposure to cloud service providers like AWS. By prioritizing these courses, Adnen aims to enhance his chances of securing a data engineering job.
The courses at the Learn Data Engineering Academy have proven to be immensely helpful for Adnen. He is currently working on his first project, which involves document streaming with Kafka, Spark, and MongoDB. After completing this project, he plans to delve into projects related to Time Series with Influx DB, Grafana, Apache Airflow, Elasticsearch, and Kafka KSQL. These hands-on projects provided by the academy have enabled Adnen to gain practical experience and develop the necessary skills to work on personal projects.
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The Academy: A Unique Approach
What particularly stands out for Adnen about the Learn Data Engineering Academy are three key aspects:
“The courses are designed to give what you really need. It’s true that it’s a light version but it’s really great because it avoids you going down a rabbit hole with all the information available on the net. Also, the academy covers the latest trends, such as new modern data warehouses like Databricks and Snowflake. But the most important thing that sticks out is the number of example projects available.”
The Learn Data Engineering Academy has not only met but exceeded Adnen’s expectations, equipping him with the necessary skills and knowledge to pursue a career as a data engineer. He has become comfortable with Git/GitHub, Docker, and SQL. Through his first project, Adnen has learned from his mistakes and has acquired the ability to debug data from Kafka in Pyspark.
Adnen’s transition from seismic data collection to data engineering serves as an inspiring example of how determination and quality training resources can lead to remarkable career transformations. Through his experience with the Learn Data Engineering Academy, Adnen has found a platform that aligns with his career goals and provides him with the skills required in the dynamic field of data engineering.
Start Your Own Journey
We hope you got inspired by Adnen’s journey. Now the big question for you is: are you ready to start your very own Data Engineering success story? Then join our Learn Data Engineering Academy today!
If you are interested, but still have a few burning questions on your mind: feel free to contact me via hello@learndataengineering.com or mention me on Twitter.