As a Data Engineer, I apply my passion for data-driven solutions to collect, analyze, and interpret complex datasets and deliver actionable recommendations. I design and maintain robust ETL pipelines, using tools such as Snowflake, Pyspark, MySQL, Azure, and AWS, to ensure data quality and availability. I also collaborate with cross-functional teams and present insights to both technical and non-technical stakeholders, using data visualization tools such as Tableau.I have over 4 years of experience in data analysis, spanning multiple domains and industries, where I contributed to impactful projects and provided hands-on technical guidance to colleagues. I hold a Master of Science in Applied Mathematics from the University at Albany, SUNY, where I gained proficiency in statistical analysis, machine learning, cyber security, and Python. I am always eager to learn new skills and explore opportunities to collaborate. Let's connect!