Data & AI Expertise

End-to-end data platform design and implementation. From database selection to warehouse architecture, ETL pipelines to analytics infrastructure. Delivered enterprise data warehouses on AWS, from ingestion through to the reporting layer.

• Data warehouse architecture (Redshift, Snowflake, BigQuery)
• Database selection and design
• ETL/ELT pipeline architecture
• Real-time streaming systems
• Data modeling and schema design
• Performance optimization
• GDPR and regulatory compliance frameworks

Hands-on data pipeline development and infrastructure implementation. From running production server and database estates to building automated, scalable data pipelines that set company gold standards.

• Pipeline development (Airflow, MWAA, Dagster)
• Data integration and ingestion
• Data quality frameworks
• Monitoring and observability
• Cost optimization strategies
• DataDog, Grafana, and Prometheus observability

Production AI systems built on solid data foundations. MCP integration, AI agent architecture, and LLM implementations (including Anthropic Claude) that actually ship to production.

• Model Context Protocol (MCP) implementation
• AI agent architecture and design
• LLM integration patterns
• Vector database implementation
• AI governance and monitoring
• Anthropic Claude and LLM integration

Strategic guidance for data and AI leaders. Experience building teams, defining roadmaps, and turning technical capabilities into measurable business outcomes across fintech, telecom, gaming, and enterprise technology.

• Data strategy and roadmap
• Team structure and hiring
• Stakeholder communication
• Build vs buy decisions
• Vendor and tool selection
• Data governance and compliance strategy