I lead data architecture, technical implementation, tracking governance, and product experimentation for high-scale digital products. I act as the technical and methodological bridge connecting Marketing, Product, Data, and Engineering.
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Data architectures and MarTech ecosystems I have designed, implemented, and optimized over my 4+ years career.
User behavior orchestration, enrichment, and activation to optimize real-time automation and personalization.
Advanced audience configuration and segmentation, multichannel automated flows design (Canvas), and data integrations for real-time campaigns.
User behavior analysis, creation of advanced product dashboards and reports, and A/B testing via Amplitude Experiment.
Design and governance of robust tracking plans to capture user behavior with high fidelity, speed, and full compliance with privacy regulations.
Web & Server-Side. Advanced GTM APIs usage, custom JavaScript scripting, and collection of complex events (custom interactions).
Advanced GA4 configuration, attribution models, and specialized tracking for product-led businesses, eCommerce, and mobile apps.
Large-scale storage, modeling, and analytical exploitation of high-volume data originating from web and mobile tracking.
Corporate Data Warehouse storage, direct data exports, and querying.
Event aggregation queries, attribution matching, and business dashboard creation.
Advanced architectures and custom technical solutions designed to solve complex attribution, web performance, and data governance challenges.
Deployment and configuration of Google Tag Manager Server-Side (sGTM) containers in cloud environments and specialized platforms like Stape and Google Cloud Platform (GCP). Integration of Meta and TikTok Conversions API (CAPI) to strengthen attribution, bypass browser blocks, and mitigate cookie loss from ITP restrictions.
Design, configuration, and integration of unified data streams connecting engagement leaders like Braze, product analytics like Amplitude, and Mobile Measurement Partners (MMPs) like Singular. Ensuring event consistency across the entire data lifecycle to drive hyper-personalized campaigns and precise multi-touch attribution.
Automated analytics data exports and aggregation in BigQuery. Designing clean schemas from the dataLayer, queried via SQL and visualized on Looker Studio dashboards. Ideal for large brands looking to merge corporate databases with digital user behavior.
As a MarTech specialist, I do not just implement code; I document every single tracking variable with absolute precision. I have authored a detailed document outlining the tracking schema, local logic, and data flow of this site to demonstrate the depth of my methodology.
Get direct access to the Google Doc detailing the tracking plan, triggers, user properties, and dataLayer schema for clicks, form submits, and cookie controls on this website.
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