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  • TU Ilmenau
  • Ilmenau
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JawaharRamis/README.md

Hi, I'm Jawahar Ramis

Master Student @ TU Ilmenau | Intern @ Plusoptix GmbH

πŸ‘‹ Hello! I'm Jawahar Ramis, a master's student with a deep passion for data engineering and analytics. I find joy in transforming raw data into meaningful insights, and my journey in the realm of data has been an exciting exploration.

πŸš€ What I Do

In my academic pursuit, I am currently enrolled in a master's program, specializing in Computer Science and Systems Engineering. Beyond the classroom, I have been actively involved in personal projects focusing on various data engineering topics. I thrive on the challenges of ETL (Extract, Transform, Load) processes, finding the journey of moving and reshaping data both fascinating and rewarding.

πŸ’‘ Why Data?

My enthusiasm for working with data stems from a genuine curiosity about the stories it can tell. I believe that every dataset has a narrative waiting to be uncovered, and I am dedicated to deciphering these narratives through the lens of data engineering and analysis.

πŸ› οΈ Technical Landscape

Proficient in ETL processes and data manipulation techniques, I enjoy the challenge of orchestrating seamless data flows. My toolbox includes Python, SQL, Apache Airflow, Apache Kafka, Apache Spark, AWS and I am always excited to add more tools to my arsenal.

πŸ“ˆ Let's Connect!

I am enthusiastic about connecting with fellow data enthusiasts, professionals, and anyone interested in the transformative power of data. If you share a passion for data engineering or have insights to share, let's connect and explore the endless possibilities that data has to offer.

Feel free to reach out, whether it's to discuss data projects, share knowledge, or simply exchange ideas. The journey of uncovering insights from data is always more enjoyable when it's a collaborative effort!

Languages and Tools

Python AWS Apache Airflow Apache Kafka Apache Spark Docker Postgres MySQL InfluxDB Power Bi Git GitHub HTML5 CSS3 Jupyter Notebook Visual Studio Code Keras Matplotlib NumPy Pandas scikit-learn

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