I have completed a Master's degree in Electrical Engineering and initially focused on embedded software development. Over time, I transitioned towards cloud and data processing solutions. I have designed and developed cloud-based data solutions for several projects.One notable project involved creating the "Postman's Performance Analysis System." In this cloud-based data project for Hungarian Post, I played a key role in establishing a data-driven culture. We collected messages from package delivery persons' PDA devices, calculated KPIs, and utilized Microsoft Azure, Azure Data Factory, and Apache Spark for data processing. Interactive dashboards were developed for data visualization, and data science tools were used for analysis. Additionally, I was involved in the "Fleet Monitoring and Analysis System" project. For Hungarian Post's extensive vehicle fleet, I designed a scalable Kafka-based streaming solution for real-time message processing. I have also been involved in projects aimed at enhancing security and implementing fraud detection. In large company environments, I understand the importance of designing solutions that are easily manageable and operable. As part of my role, I have architected and implemented CI/CD pipelines for both infrastructure and software components of these projects.When it comes to data solutions, my expertise lies in designing solutions primarily in the Azure cloud, utilizing modern data stacks such as Apache Kafka, Apache Airflow, Airbyte, Delta lake, and DBT.I firmly believe in the significance of DataOps, which plays a vital role in ensuring the success of data-driven initiatives. By applying DataOps principles, organizations can establish efficient data pipelines, enhance data quality, and enable collaboration among teams. I recognize the value of implementing robust DataOps practices to maximize the value of data and drive informed decision-making.During my leisure time, I actively contribute to open-source data projects such as Great Expectations and Astronomer-Cosmos.