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šŸ‘‹ Hello! I'm Stas, a Data Engineer with a zeal for transforming data chaos into structured insights and meaningful information. My superpower? Turning raw data into valuable knowledge. I have a keen eye for discerning patterns and trends in the most intricate datasets.

šŸŽ“ With a solid background in Computer Science, I've developed a proficiency in designing and implementing effective data pipelines, particularly for ETL processes. I'm always on a quest to broaden my knowledge and skills in data engineering and find joy in working with diverse data storage technologies and cloud computing platforms like AWS and GCP.

šŸŒŸ Current Focus:

  • šŸ–„ļø Deepening my knowledge in programming languages like C and Rust, and exploring Front-End development.
  • šŸš€ Serving as a Lead Data Engineer at Innowise Group, where I'm committed to leading data projects to success.

šŸŽµ Beyond the world of data:

  • šŸŽ¹ Former music producer turned hobbyist musician, creating tunes in my free time.
  • šŸ‹ļøā€ā™‚ļø Fitness enthusiast, regularly hitting the gym and the swimming pool to stay active and energized.

šŸ’¬ Let's Talk:

  • šŸ“Š I'm always up for discussions about business strategies and programming challenges. Feel free to reach out!
  • šŸ¤” Got questions about data engineering or tech in general? Iā€™m here to share my insights and learn from others.

šŸ¤“ Fun Fact: My journey in music production has shaped my creative approach to problem-solving in the tech world.

šŸ” I believe in continuous learning and growth, both in my professional life and personal pursuits. Let's connect and collaborate on projects that innovate and inspire!

I am really fond of open-source development, primarily Airflow repository

Stas's Github Stats

Stanislav Kazanov's Projects

airflow icon airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

forecast-athena-query-cost icon forecast-athena-query-cost

This Python project offers a business-focused solution for analyzing SQL query logs and predicting memory usage, primarily for AWS Athena. It enhances database performance monitoring and optimization, crucial for data-driven enterprises.

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