
Results-driven Data Engineer with 1.5+ years of experience designing and implementing scalable ETL/ELT pipelines, BI reporting solutions, and cloud-based architectures on Microsoft Azure. Proficient in Python, SQL, PySpark, and Power BI with expertise in data modeling, performance tuning, and Spark optimization. Achieved 80% cost reduction in Azure resource usage and 87.5% pipeline runtime improvement. Microsoft Certified in Azure Data Engineering and Fabric, with a strong focus on delivering cost-effective and impactful data solutions.