Senior Data & Platform Engineer · Technical Leader · Wayfinder
I design and deliver enterprise data platforms, cloud integrations, internal applications, and AI-enabled systems that turn messy business problems into reliable production solutions.
Selected work
Eighteen case studies across data platforms, applications, AI, analytics, and reliability. Each one is a sanitized reconstruction: no organization names, proprietary code, client data, or confidential architecture.
Retail data platform · Integration
Backend architecture for a multi-retailer shelf-intelligence ecosystem: inventory, planogram, product, and image feeds out to an AI vendor, availability metrics back into reporting.
Read case study →Data product · Self-service analytics
End-to-end data product, from on-prem extraction to governed Gold models, plus a self-service app that replaced legacy reports for about 100 daily users.
Read case study →AI / ML · Vector search
Hybrid rules-plus-vector-search system that returns ranked, explainable comparable titles on demand instead of overnight.
Read case study →Incident response · Production data
Restored a floor-facing warehouse dashboard after a failed integration: traced the cascade, cleaned duplicate data, and recovered 14,033 of 14,033 valid records.
Read case study →Forecasting · Data app
Automated 26- and 52-week launch curves with a governed curve editor, replacing a manual hours-to-days process.
Read case study →Enterprise application · APIs
Custom API-driven web app replacing a low-code planning portal, with faster grids, optimistic locking, auditable snapshots, and no vendor lock-in.
Read case study →AI adoption · Learning platform
Internal AI learning platform driving Copilot adoption from the C-suite to every license holder, with courses, a readiness assessment, and progress tracking.
Read case study →Analytics · Methodology
A lift-weighted allocation method that stopped overlapping retail events from inflating POS units, where 9 real units had been showing up as 63.
Read case study →Reliability · Production engineering
Diagnosed slow pages and intermittent outages in a production demand-planning app, from autovacuum lag and index bloat to the reads that hit them.
Read case study →Data architecture · Master data
Bringing operational and analytical systems into line around consistent business entities, with canonical IDs, mapping rules, and visible exceptions.
Read case study →Integration · Reusable framework
A bidirectional pattern for syncing business-app data with the lakehouse, so new datasets connect without rebuilding one-off interfaces.
Read case study →Platform · Security & DevOps
Moving data-platform automation off personal credentials and onto service principals and federated identity, so jobs belong to the team.
Read case study →Data quality · ERP migration
Found and sized the store account-number conflicts behind pipeline failures after an ERP migration, so fixes could be prioritized.
Read case study →Data engineering · Pipelines
Store-level inventory for a major retailer’s live items, after solving an identifier mismatch that had queries running for minutes with no results.
Read case study →Orchestration · Idempotency
A Logic Apps workflow with a date-specific control marker that stops repeated source notifications from triggering duplicate loads.
Read case study →Data product · SQL
Weekly store-level service hours with reliable Sunday–Saturday boundaries, one row per store-week, and a six-month backfill.
Read case study →MLOps · Security
Human-in-the-loop app for approving ML-predicted inventory decisions, plus the least-privilege access pattern that made it secure.
Read case study →Production support · Low-code
Owned and stabilized a low-code forecasting portal: fixed UX bugs, root-caused forecast errors, and laid the groundwork for its replacement.
Read case study →
About
My career has moved from advanced analytics and forecasting into data engineering, cloud architecture, enterprise integration, internal applications, platform reliability, and technical leadership.
I am often most useful when the problem is ambiguous: the data lives in multiple systems, the business language does not match the technical model, stakeholders need confidence, and someone has to make the path clear.
That is where I do my best work — understanding the problem, connecting the people and systems involved, making the architecture understandable, and helping a solution get all the way into production.
Speaking & thought leadership
I speak about technical leadership, nonlinear careers, data and platform engineering, and what it means to build influence before someone gives you the title.
Stop waiting to be chosen before you act on what you know you can become.
How technical professionals create more value by operating across systems, architecture, and stakeholders.
Influence, technical credibility, translation, and becoming the person people trust to find the way.
Ideas
Technical essays, career reflections, architecture notes, and lessons from building systems. New pieces coming soon.
Engineering note
A practical look at business-effective dates, system dates, and why reliable pipelines must distinguish the two.
Coming soonCareer
What changes when you stop measuring leadership by org charts and start measuring it by trust and outcomes.
Coming soonArchitecture
The design patterns behind metadata-driven ingestion, incremental processing, and reusable engineering frameworks.
Coming soon