With over 11 years of distinguished experience in data engineering, I currently hold the role of Senior Data Engineer at Adidas, contributing significantly to the organization's data prowess. My comprehensive skill set encompasses an in-depth mastery of Hadoop Ecosystem Tools such as Hive and Spark , Databricks (7 years) and core Java and J2EE technologies (2.5 years) .Within Adidas, I've been a key player in trend forecasting projects, orchestrating end-to-end data engineering implementations. This includes leveraging the power of Databricks for advanced analytics and workflows orchestration, ensuring seamless data processing and delivery. My expertise extends to crafting and implementing enterprise-scale Data Lakes on Azure Cloud and on-premise.One of my notable achievements involves deploying a Streamlit application for trend forecasting, Dockerizing it, and orchestrating its deployment in Kubernetes. This venture showcased my proficiency in cutting-edge technologies and my ability to collaborate seamlessly with intra-team, platform, CI/CD, and IAM teams.In addition to internal projects, I've effectively incorporated third-party APIs, such as Google Search, for data ingestion. This strategic utilization of external data sources has enhanced the richness and relevance of our datasets, contributing to more informed decision-making.Passionate about mentorship and innovation, I lead GPOCs with Generative AI, pushing the boundaries of what's possible in data engineering. My commitment to excellence, combined with a strategic mindset, ensures that data not only serves as a valuable asset but also aligns seamlessly with the broader goals of the organization.