EY Technology Solutions empowered the development of cutting-edge machine learning models and optimized ETL workflows using Databricks frameworks. Contributions included designing automated workflows with Delta Live Tables and integrating real-time streaming data from Kafka for efficient processing. Efforts were directed toward enhancing data profiling frameworks and ensuring robust data architecture to meet complex business needs. A graduate in Electrical and Electronics Engineering from GIET, their expertise spans big data engineering, machine learning, and Azure cloud solutions. Motivated by solving intricate data challenges, they have contributed to diverse projects such as demand forecasting, predictive analytics, and data migration. Collaborative work with cross-functional teams continues to drive impactful business outcomes.