I am a Senior Data Engineer with 6+ years of experience building and scaling data platforms and ML pipelines across AWS, Azure, and GCP. I design end-to-end data architectures—from ingestion and ETL/ELT to data modeling and real-time streaming—and I specialize in cloud-native lakehouse solutions (Redshift, BigQuery, Snowflake, Delta Lake, Iceberg).
My work emphasizes MLOps automation, including feature engineering, model training and deployment, drift monitoring, and automated retraining using AWS SageMaker, MLflow, Databricks ML, and Snowflake Snowpark. I enjoy delivering production-grade solutions with Python, SQL, dbt, Kafka, and CI/CD, driving faster analytics, reliable deployments, and governance compliant with HIPAA, GDPR, and HITRUST.
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