I'm a passionate Data Engineer, Data Analyst and Data Science with experience in designing and implementing data architecture solutions. I love working with data and continuously expanding my knowledge in the field.

• Programming Languages: Python, SQL, PowerShell, NoSQL
• Data Tools: PySpark, AWS (Lambda, S3, Glue, Athena, EventBridge), PostgreSQL, Polars, MySQL, SQL Server
• Business Intelligence: Power BI, Tableau
• Development Practices: Typing and best practices enforcement with Ruff, unit testing
• Other Tools: Docker, Git, Jupyter Notebook

I'm diving deeper into PySpark and enhancing my skills in working with big data. I'm also expanding my knowledge in cloud-based solutions using AWS.

I have hands-on experience as a Data Developer & Data Engineer, particularly in the design, development, and implementation of data lake wrappers on AWS. During this time, I worked on projects involving the analysis of flight concurrency, where I examined how many flights were in the air simultaneously.

I'm currently finishing my Technical Degree in Data Processing and Exploitation. This education has provided me with a strong foundation in both technical and analytical skills. My academic journey has been complemented by practical experiences, including supervised professional internships at Sirvana, where I honed my adaptability, teamwork, and problem-solving abilities. In my spare time, I love working on data-related projects, continuously learning and improving my skills.

Beyond my professional life, I enjoy engaging in 🛼 artistic roller skating 🛼. It's a passion of mine that allows me to balance my technical work with creativity and discipline.

Feel free to connect with me on LinkedIn or explore my repositories here on GitHub to see more of what I'm working on!