With a Master's degree in Computer Applications and a passion for data engineering, I create and optimize data pipelines for the Alternative Investment sector at Equipped Analytical Intelligence. I have a strong foundation in Python and SQL, which I use to manipulate and analyze data, and expertise in Azure Databricks and Azure Data Factory, which I use to handle large-scale data flows. I spearheaded the development of a new data processing pipeline that improved processing speed by 35%, earning me two Employee of the Quarter awards. I'm always eager to learn new skills and technologies to enhance my data engineering capabilities, and to read books and articles about what is new in Tech. I'm looking for new challenges and opportunities in data engineering, where I can create value and impact.