Examples of consulting work focused on trusted data, platform resilience, and intelligent automation.

Designed and delivered migration solutions supporting large-scale movement of data into Snowflake while maintaining data accuracy, performance, and operational readiness.

• Replication, transformation, validation, and reconciliation patterns for enterprise cutovers.
• Operational checks to improve migration confidence and reduce manual verification effort.
• Platform-ready structures for analytics, reporting, and downstream consumption.

Built a configurable reconciliation platform using Snowpark and DataFrame processing to identify discrepancies across enterprise systems and improve data trust.

• Reusable framework for quantity checks, source-to-target comparison, and discrepancy reporting.
• Metadata-driven design to support multiple datasets and reconciliation patterns.
• Audit-friendly output for engineering teams, analysts, and operational stakeholders.

Contributed to disaster recovery planning, execution, validation, and operational readiness, helping improve platform resilience and recovery confidence.

• DR runbooks and validation processes for data platform recovery scenarios.
• Automation-first approach to reduce risk during high-pressure recovery activities.
• Operational readiness improvements across platform teams and stakeholders.

Developing intelligent systems that automate issue analysis, improve data quality processes, and accelerate engineering workflows through AI.

• AI-assisted analysis for engineering issues, documentation, and workflow acceleration.
• Practical automation patterns that support review, traceability, and responsible adoption.
• Exploration of intelligent data quality and operational intelligence use cases.