Data Engineering Leadership for Cloud-Scale, Enterprise Platforms
I design and lead large-scale Snowflake, AWS, Azure, and Google Cloud data platforms for healthcare and enterprise organizations — from Teradata and SQL Server migrations to modern lakehouse architectures. Here I share technical playbooks, investment insights, and consulting services.
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Data Engineering Manager with hands-on experience architecting Snowflake Business Critical environments, AWS-based orchestration, and multi-cloud migrations spanning Teradata, SQL Server, Redshift, Databricks, and BigQuery. Focused on governed, production-grade data platforms for regulated industries — where accuracy, security, and uptime aren't optional.
Featured Insights
Technical playbooks from real implementation experience.
Services
Engagements shaped to your migration, governance, or advisory need.
Cloud Migration Strategy
End-to-end migration planning for teams moving off Teradata, SQL Server, or Redshift — architecture design, tooling selection, and a phased cutover plan that protects business continuity.
Snowflake Architecture & Governance
RBAC design, cost optimization, monitoring, and Business Critical environment setup for teams scaling Snowflake beyond their first few pipelines.
Data Platform Advisory
Fractional or project-based guidance on multi-cloud data architecture, orchestration (Airflow/MWAA), and CI/CD for data pipelines.