Kiril Spiridonov

I specialize in designing, building, and maintaining scalable data pipelines that enable organizations to extract insights from their data. With a strong background in data architecture, database design, and ETL processes, I am well-versed in a variety of technologies and tools, including Spark, SQL, Azure, AWS, GCloud, and more.Throughout my career, I have successfully collaborated with cross-functional teams to develop data-driven solutions that support critical business initiatives. Whether it's optimizing data warehouses for faster query performance or automating data quality checks to ensure accuracy and completeness, I am committed to delivering high-quality, reliable data products that drive better decision-making.I am passionate about staying up-to-date with the latest trends and best practices in data engineering and enjoy sharing my knowledge through blog posts, conference talks, and mentorship. In my free time, I enjoy exploring new technologies and experimenting with personal projects that challenge me to expand my skills and knowledge.