Selected evidence
01—08 / Scale · Adoption · Cost · Modernization
E01
15+ years
Building data, analytics, and automation systems
E02
10+ systems
Legacy systems migrated across three operating companies
E03
200,000+
Documents classified through an AI governance workflow
E04
12 agents
Copilot agents developed for QA, documentation, and migration validation
E05
20 TB
Processed in a Databricks and PySpark environment
E06
1,000+ users
Supported through a global Power BI environment
E07
$140K
Annual infrastructure savings
E08
$600K
First-year cost reduction through analytics framework redesign
Operating model
01
Understand fragmented systems, unreliable data, manual processes, and business constraints.
02
Define the platform, governance model, data design, and modernization path.
03
Develop pipelines, semantic models, automation, AI workflows, and decision systems.
04
Integrate the work into business workflows, tools, teams, and real decisions.
05
Establish adoption, training, governance, quality controls, and measurable improvement.
Selected work
Architecture · Modernization · AI · Analytics
Rebuilt a Snowflake and Python migration framework across 10+ legacy source systems for three operating companies, supporting Salesforce and Oracle Fusion transformation, validation, traceability, and analytics.
Built an AI-enabled Power Automate workflow to assess document risk and sensitivity for data-governance leadership, replacing a manual review process.
Built Power BI architecture and data models from scratch for customer success, operations, and executive users; integrated predictive churn signals into business workflows.
Led the implementation of Databricks as a core platform, processing complex GDS data with PySpark and managing 250+ nested JSON arrays alongside global PostgreSQL data.
Career pathways
Three kinds of complexity, one operating approach.
01
For disconnected data and reporting environments that inhibit reliable decisions.
Systems: Data platforms, semantic models, governed analytics, architecture modernization.
Proof: A 20 TB Databricks and PySpark environment, and a global Power BI environment supporting 1,000+ users.
02
For manual knowledge work and processes that need automation without giving up governance.
Systems: AI workflows, document intelligence, Copilot agents, workflow automation.
Proof: A 200,000+ document classification workflow, and 12 Copilot agents for QA, documentation, and migration validation.
03
For legacy environments where change must preserve quality, lineage, continuity, and stakeholder confidence.
Systems: Migration architecture, validation, governance, platform transformation.
Proof: 10+ legacy systems across three operating companies, with migration turnaround reduced from three weeks to days.
Writing & speaking
Selected public work
Pest Control Technology Magazine
Article · January 2025
#Accelerate Conference
Talk · San Francisco
Contact
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