AI Data Engineer with 5+ years of experience designing and implementing large-scale data pipelines, AI data platforms, and cloud-based ML infrastructure across financial services and AI-driven enterprise environments. Proven expertise in big data processing (Apache Spark, Airflow, and Kafka), AI training data pipelines (RAG, FAISS, embeddings), ETL/ELT architecture, and feature engineering for high-performance ML models. Skilled in Azure, AWS, Snowflake, Kubernetes, Python, SQL, dbt, Terraform, and CI/CD automation, delivering cost-optimized, highly available AI data solutions for enterprise-scale ML workloads. Strong track record of reducing data latency, improving model accuracy, and accelerating ML deployments by implementing scalable, automated, and secure data workflows.