Highly skilled and results-driven Senior Data Engineer with over five years of experience in designing, building, and managing scalable data pipelines and analytical platforms across Azure and AWS ecosystems. Proven expertise in ETL development, data lake/lake house architecture, data modeling, and real-time streaming. Hands-on experience with PySpark, Spark SQL, ADF, Azure Databricks, Snowflake, Microsoft Fabric, Redshift, Kafka, and Airflow. Adept at translating complex business requirements into optimized data solutions, delivering high-quality data for analytics, BI, and AI/ML initiatives. Strong collaborator with cross-functional teams, with a passion for data quality, performance optimization, and automation.
• Actively contributed to internal knowledge-sharing sessions on Azure Data Engineering and PySpark best practices.
• Participated in code review panels and automation initiative teams to improve pipeline quality and performance.
• Mentored junior engineers on cloud-native data pipeline development and performance optimization.
• Regular participant in technical meetups and webinars related to Big Data, Azure, and modern data platforms.