I architect and implement enterprise-scale data infrastructure, build production ML pipelines, and optimize data workflows for high-performance analytics. Specialized in AWS, Apache Spark, and modern data engineering frameworks.
Designing and deploying production-ready machine learning models using AWS SageMaker, PySpark, and modern ML frameworks. Specializing in time series forecasting, deep learning, and model optimization.
Architecting and implementing scalable cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code. Focused on high availability, security, and cost optimization for enterprise applications.
Building robust data pipelines and ETL processes for real-time analytics and business intelligence. Expertise in PySpark, Kafka, and data quality frameworks for enterprise-scale data processing.
Let's discuss how I can help optimize your data pipelines, implement ML solutions, or architect your next data platform.