Milan Regmi

I’m a Data Engineer with an M.S. in Artificial Intelligence from Yeshiva University (NYC), specializing in designing and deploying scalable data pipelines and cloud-native architectures across Azure, AWS, and Snowflake. At Charter Communications and Verisk Analytics, I built and optimized ETL workflows using PySpark, Airflow, and Azure Data Factory, improving data accuracy by 10%+ and cutting pipeline latency by over 40%. My work focuses on building reliable, high-performance systems that bridge data engineering and machine learning for smarter business insights. Skilled in PySpark, SQL, Snowflake, Databricks, and Power BI, with certifications in Microsoft Azure Data Fundamentals (DP-900) and AWS Cloud Practitioner, I aim to design data solutions that are efficient, secure, and insight-driven. Based in New York City | Open to Data Engineer, ML Engineer, or Cloud Data roles.