Gianvito Morena
Senior Software Engineer - Sales Order @Zalando
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WORK HISTORY
Senior Software Engineer - Sales Order @Zalando
Berlin, DE
As part of the Sales Orders Engineering team, I drive mission-critical projects focused on order processing, order anomaly detection, and customer behavior analysis. Actively contribute to architectural discussions and mentoring junior/external engineers. In particular- Order Anomaly Detection System: Led the design, and implementation of a real-time analytics system to monitor and detect order drops across multiple dimensions. This has significantly reduced revenue loss by providing automated alerts for operational incidents- Customer Analytics & Funnel System: Led the design, and the building of scalable data pipelines and analysis tools to extract actionable insights on customer behavior, influencing strategic marketing and operational decisions on ZBM reports- Performance Optimization & Scalability: Led initiatives to modernize the tech stack, optimize database systems, and improve service resilience, enhancing system performance under high-traffic conditions- Monitoring & Incident Management: Strengthened observability and monitoring through enhanced logging, metrics, and real-time dashboards, ensuring operational stability during peak events like Black Friday.
EDUCATION
Università degli Studi di Salerno
Bachelor's degree, Computer Engineering
Università di Bologna / University of Bologna
Master's degree, Computer Software Engineering
SKILLS
ABOUT GIANVITO MORENA
Senior Software Engineer with extensive experience designing and implementing scalable, data-driven solutions. Currently leading key initiatives at Zalando to enhance order anomaly detection and customer analytics, reducing GMV loss and improving business intelligence capabilities. Previously developed a company-wide enterprise search engine at Market Logic Software, optimizing search relevance and efficiency for large-scale applications. Interested in solving complex engineering challenges, optimizing system performance, and fostering cross-functional collaboration. Passionate about clean code principles, distributed systems, and leveraging machine learning for predictive analytics. Holds a Bachelor’s and Master’s degree in Software Engineering, both awarded cum laude.
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