Analytical and detail-oriented Data Engineer with 5+ years of experience in designing and optimizing ETL pipelines, SQL development, and data automation. Skilled in Python (pandas, NumPy) for large-scale data transformation, web scraping, and workflow optimization, with proven success in reducing reporting turnaround by 60% through reusable scripts and automation. Experienced in managing SQL databases (MySQL, PostgreSQL, Snowflake) and building scalable solutions for market research and KPI tracking. Currently focused on Azure Data Engineering—leveraging Azure Data Factory, Synapse Analytics, and Blob Storage to migrate on-premises workflows to cloud-native, cost-efficient architectures. Adept at integrating Python-based ETL with cloud pipelines and preparing data models to support advanced analytics and Power BI reporting.