From raw data to business outcomes.
I design, build, and govern the data infrastructure that analytics teams, product teams, and executive stakeholders depend on. Each engagement starts with your business problem — not a technology checklist.
Data Platform (0→1)
Design and implement modern data stacks from scratch.
- Warehousing, pipelines, modeling, governance
- Built for scale, reliability, and real-time use
- Schema design to semantic layer
Scalable foundation + single source of truth
Analytics & BI Systems
Turn data into clear, actionable insights.
- KPI frameworks, dashboards, semantic layers
- Finance, operations, workforce analytics
- Embedded reporting and automated alerts
Trusted decision-making at every level
Automation & AI Enablement
Move beyond dashboards into real impact.
- Reverse ETL, workflow automation
- AI-ready data layers and LLM integrations
- Agent-ready pipelines and governed context
Data → action → automation
Ingestion & Pipeline Engineering
Reliable data movement from any source — APIs, databases, event streams, flat files — on schedule and with full observability. I design pipelines that handle schema drift, late-arriving data, and failures gracefully.
Deliverables
- Source-to-landing pipeline architecture
- CDC and streaming ingestion setup
- Error handling, retry logic, and alerting
- Pipeline orchestration (Airflow, Prefect, or managed)
Warehouse & Storage Architecture
The foundation your entire stack runs on. I design storage layers that balance cost, query performance, and flexibility — whether you're starting fresh or migrating from a legacy system.
Deliverables
- Warehouse selection and configuration
- Schema design and partitioning strategy
- Data lake / lakehouse architecture
- Migration planning from legacy systems
Transformation & Modeling
Clean, tested, version-controlled transformations that turn raw data into analysis-ready datasets. I build modular dbt projects with documentation, tests, and lineage tracking baked in from day one.
Deliverables
- dbt project setup with testing framework
- Dimensional modeling and staging layers
- Data quality checks and anomaly detection
- Incremental processing for large datasets
Semantic & Metrics Layer
One definition of every metric, enforced everywhere. I build the layer that ensures "revenue" means the same thing in every dashboard, report, and downstream system.
Deliverables
- Metric definitions and business logic codification
- Semantic layer implementation
- Self-serve query interfaces
- Metric governance and change management
Governance & Compliance
Know where your data is, who owns it, and who can see it. I treat governance as a design constraint — not a retrofit — covering PII classification, access controls, retention rules, and audit readiness.
Deliverables
- Data catalog and lineage documentation
- PII classification and access control design
- GDPR / CCPA / HIPAA compliance mapping
- Retention policies and data lifecycle management
BI & Analytics
Dashboards, reports, and alerts that drive decisions — not just display numbers. I build reporting systems that business teams actually use, with the right level of self-serve for each audience.
Deliverables
- KPI framework and dashboard design
- Embedded analytics and automated reporting
- Finance, operations, and workforce analytics
- Alert systems and threshold monitoring
Automation & AI Enablement
Close the loop between insight and action. I build the data infrastructure that AI systems actually need — governed context, clean retrieval patterns, and pipelines that feed models, agents, and automation workflows.
Deliverables
- Reverse ETL and operational analytics
- AI-ready data layer design
- LLM integration and context pipelines
- Workflow automation and agent infrastructure
Not sure where to start?
Most engagements start with a conversation about what's working, what's broken, and what you're trying to achieve. No pitch deck. No slide show.
Book a conversation →