Building data pipelines, automating data workflows, and transforming raw data into actionable insights on Bloomberg's Terminal to drive everyday financial markets. As a Data Engineer at Mastercard, I led the design and development of OLAP processes by building scalable ETL pipelines. Previously, as a Product Data Engineer at INSIA, I helped build a search-based analytics platform that improved data accessibility and decision-making. During my Master's at Columbia University, I refined my skills in data-driven product management, data science, large language models (LLMs), and natural language processing (NLP) to optimize DE processes. Tech stack - Python, SQL (MySQL, PostgreSQL, ClickHouse), Trino, Snowflake, Databricks, LLM, AWS, and Apache Spark for distributed computing. Beyond tech, I’m an athlete who finds joy in boxing and long-distance running 🍻 Let’s connect - Drop me a message if you are a Columbia University or Manipal student or alum, or if you share a liking for Data engineering/AI products, or if you just like dark roast coffee!