With over 15 years of experience in data engineering, I specialize in designing and optimizing large-scale data solutions in the banking, finance, and insurance industries. Proficient in Big Data frameworks like PySpark, Hadoop, and Hive, I build scalable pipelines and integrate advanced machine learning models to enhance decision-making and operational efficiency. 🔹 Key Highlights: Delivered solutions improving performance by up to 40%. Certified in Generative AI, Cloudera Data Engineering, and SAS Statistics. Led migration to Azure, reducing costs by 40% while ensuring robust data governance. Recognized with the 'Illuminator Award' and 'Granite Elephant' for technical excellence. 🔹 Core Expertise: Data pipeline automation and optimization. Machine learning integration for financial risk analysis. Relational & NoSQL databases: MySQL, MongoDB, Cassandra. Cloud and Big Data platforms: Azure, Hadoop, Spark.