Results-oriented Data Engineer with over 5 years of extensive expertise in the Big Data and Data Engineering technology stack, leveraging both Azure and AWS cloud platforms. Proficient in Apache Spark (Batch/Real-time processing), Python, Scala, Hive, Databricks, Azure (Azure Data Factory, Azure Data Lake), AWS S3, AWS Lambda, NoSQL Databases, Data Warehousing, ETL, Airflow, Kafka Streaming, SQL, PLSQL, Unix, CI/CD, GitHub, Data Modeling, Snowflake, DBT and Exploratory Data Analysis (EDA). Additionally, I possess knowledge in Data Science, Machine Learning, Generative AI, and Large Language Models (LLM). Currently, I am working on massive supply chain projects for North America and EMEA regions for Nike, where I am responsible for designing and implementing scalable data solutions that drive business insights and operational efficiency. My role involves integrating data from diverse sources, transforming it into structured formats, and ensuring its availability for downstream applications. Previously, I have worked on retail and logistics projects, where I honed my skills in data engineering and developed a deep understanding of the industry. My experience spans across various domains, including Supply Chain, Healthcare, Technology, Transit, and Quality. I am passionate about asking the right questions, identifying inefficiencies in existing systems, and developing innovative solutions to address them. I thrive in fast-paced environments and am always eager to learn and apply new technologies to solve complex problems. I am a seasoned Big Data Engineer who loves to apply my knowledge to develop scalable solutions. I am committed to adapting, improving, and bringing value to the organization and the people around me. I am always open to taking on new roles and challenges that allow me to develop new skillsets and grow professionally. Passion Areas: Data Engineering, AI & ML Engineering, Big Data Development, SQL, Data Warehousing, ETL, Big Data Tools, and Emerging Technologies.