At Adastra Corporation, I lead the design and development of cloud-native data platforms on AWS and Snowflake for analytics, reporting, and ML workloads.
I've delivered multi-terabyte ETL/ELT pipelines, Kafka and Spark streaming systems, and data quality frameworks that reduced production data incidents by 45%.
I optimize lakehouse and warehouse performance through partitioning, clustering, and query tuning, delivering approximately 30% annual infrastructure cost savings. I also mentor data engineers and establish governance, lineage, security, and semantic-layer standards.
Across Adastra, Atoccama Corporation, and TechnoData Analytics Services, I've built reliable pipelines, data models, BI datasets, and AI-ready workflows. I also develop Python-based computer vision and ML data pipelines that support preprocessing, inference, deployment, and monitoring.
