Transitioned from a mixed leadership role to a technical specialization position in cloud and data, with a focus on modern architectures, scalable products, and applied machine learning. Designed and implemented data architectures (ETL/ELT pipelines) using deterministic and ML algorithms with AWS and GCP cloud services, including IAM management, alarms, and logs. Integrated REST APIs: Simplified manual processes with reliable data for analytics and dashboards. Solved a critical roadblock for a client (protocol adaptation), enabling a 50% increase in platform usage. Developed and deployed a functional feature on Cloud Run: full-stack with Docker, Python (Flask), and a live device map, delivering functionality 2 years ahead of the vendor's official roadmap.

Led the development of proactive diagnostic pipelines, early detection, and SLA and KPI calculations, applying algorithms in .NET and SQL Server. Provided technical leadership to a team of 6+ data engineers and analysts, establishing coding standards, reviews, and best practices for data governance. Designed automated analysis tools that reduced operational costs by over 50%.