As a Data Engineer at Meta, I apply my mathematical knowledge and data skills to build and maintain scalable data pipelines for artworks information collection and analysis. I have over 6 years of academic and professional experience in Mathematics and Data Science, and I hold a PhD in Mathematics from Boston College and a GCP certification.In my current role, I leverage technologies such as AWS, Apache Airflow, Python, and SQL to scrape, preprocess, store, and automate data workflows. I also use machine learning and data visualization techniques to generate insights and recommendations for the artworks domain. Previously, I was a Data Engineering Fellow at Insight Data Science, where I developed a data pipeline project that involved web scraping, machine learning, and data visualization. I am passionate about solving real-world problems and creating value for the society with data.