Wally Hormi

Context: Production migration and infrastructure optimization of core data assets onto a modern, cloud-native, and scalable platform. Key Achievements: • Core Engine Migration & Architecture: Completed the migration of legacy R programs to PySpark on a native Databricks environment, implementing a Medallion architecture (Bronze-to-Gold layers). • Industrialization & Batch Automation: Designed, developed, and productionalized complex Databricks Workflows to automate batch ingestion (Trigger mode), ensuring daily data delivery before business hours. • Large-Scale Data Management: Processed and optimized data pipelines handling millions of rows and hundreds of columns to power business-critical analytical Datamarts. • Data Delivery & BI: Created and maintained secure, high-performing connections between Databricks environments and Power BI dashboards to enable Data Analysts to unlock business insights. • DevOps & Git Practices: Managed the Git environment for script versioning, technical collaboration, and secure deployments within Azure DevOps. Technical Environment: Databricks, PySpark, Python, Spark SQL, Azure DevOps, Git, R.

Context: Strategic technical takeover and business continuity contract. Assumed full technical leadership of a critical data perimeter following the sudden departure of the previous team. Successfully stabilized the infrastructure and led a high-stakes enterprise Proof of Concept (POC) between DataGalaxy and Franprix. Key Achievements: • Technical Takeover & Autonomy: Demonstrated rapid onboarding and high adaptability on an undocumented legacy architecture. Conducted a comprehensive audit, secured, and maintained the global data environment single-handedly. • Automated Ingestion & Reporting: Developed and optimized robust Python scripts connected to Snowflake to generate functional reports and automate daily result delivery to business users via email. • Data Governance & Cataloging: Documented existing functional codebases and cataloged core warehouse tables, MicroStrategy cubes, and corporate KPIs to support and structure the enterprise POC. Environment & Tools: Snowflake, Python, SQL, Docker, GitLab CI/CD, DataGalaxy, MicroStrategy.

Context: Strategic international migration across 1,400 markets (one of the largest global migrations at the time) to ensure GDPR compliance for digital tracking frameworks. Key Achievements: • Automation & OOP Development: Engineered complex Python scripts utilizing Object-Oriented Programming (OOP) and Selenium to programmatically migrate and recreate data properties via dedicated Google APIs. • Digital Container Migration & Updates: Automated the large-scale migration, creation, and updates of digital data containers across global accounts and properties based on JSON configuration files. • Cross-Platform Ingestion & Orchestration: Established dedicated data pipelines to Adobe Analytics (via R) and designed data workflows within Dataiku to build and structure target databases on Google Cloud Platform (GCP/BigQuery). Environment & Tools: Python, Google Cloud Platform (GCP), BigQuery, Dataiku, Selenium, R, Git.