I’m a passionate Data Engineer focused on building scalable data solutions and transforming raw data into meaningful business insights. I have hands-on experience working with Python, SQL, ETL pipelines, Data Warehousing, and Big Data technologies, with a strong interest in designing efficient and optimized data architectures. My technical background includes working with tools and technologies such as Apache Spark, Kafka, Hadoop, Docker, PostgreSQL, Power BI, SSIS, and cloud-based data workflows. I enjoy building end-to-end data pipelines, performing data preprocessing and transformation, and developing automated workflows that improve data quality and analytical performance. I also have practical experience in data modeling, database optimization, real-time streaming systems, web scraping, and fraud detection projects. I’m particularly interested in distributed systems and modern data engineering ecosystems that support large-scale and real-time data processing. I'm an enthusiastic person who lives by learning new skills and experiences, beside my technical interests which are mainly presented in software development, I'm also interested in developing my interpersonal skills, ranging from creative and critical thinking to management skills.