Resume

Technical and methodological reference for GA4 data exploitation across multiple retail and e-commerce clients. Modeling raw GA4 data using medallion architecture (bronze, silver, gold) with both dbt and Dataform. Creating specialized datasets and marts for analyzing user behavior, simulations, and product interactions. Building dbt packages for continuous GA4 tracking analysis and behavioral data monitoring. Implementing FinOps strategies for Cloud cost management and query optimization.

Building end-to-end data platforms integrating media campaigns and commercial data analysis. Multi-source data extraction combining marketing data via Funnel (aggregating DSPs like Google Ads, Facebook Ads), commercial data from ERP systems (SAP) and e-commerce platforms (Shopify), plus additional sources (SFTP, Mail). Technical reference for gathering business requirements and writing specifications. Building and optimizing data pipelines to centralize marketing, commercial, and behavioral data into a unified source of truth. Continuous improvement and development of dashboards for C-Level.

Migrating legacy infrastructure (Dataroma) to Modern Data Stack architecture. Technical reference for multi-source data collection and integration (Catchr, Couchdrop). Setting up data extraction from DSPs via Couchdrop (Mailbox, GCS). Building dbt standards and associated technical tooling. Monitoring, validation, and comprehensive documentation of platform developments. Providing dbt training to client teams.

Comprehensive multi-store data platform with advanced security and monitoring. Implementing Row-Level Security (RLS) for multi-store dashboards with unique link access. Developing consolidated global dashboards for overview. Building automated alerting system (Slack) to detect missing data and anomalies in store customer counters. Optimizing dbt models and continuous improvement of dashboards for performance and maintainability. Setting up new analyses for inventory management.

Gathering business requirements and identifying manual processes to automate. Setting up multi-source data extraction pipelines (Funnel, Google Sheets, flat files, SFTP, Mail, Stitch, Airbyte, Catchr, Couchdrop). Building robust orchestration workflows with Kestra for reliable data ingestion and transformation. Implementing error handling, retry logic, and monitoring for production-grade data pipelines.