Manuel F. Email & Phone Number

Milan, It

Milano, Lombardia, Italia

• Unit Head & Technical Leader: - Lead international team across Group Analytics and Central Data Platform - Drive tech innovation and standardization across countries - Define Group wide technical roadmap and architectural vision - Champion LLMs, Golang, and cloud-native solutions adoption• Group Central Data Platform Architecture: - Built enterprise data warehouse with AWS Redshift (Bronze/Silver/Gold model) - Standardized Terraform modules for cross-country deployment - Implemented New Relic monitoring and observability to improve Service Level - Established QA standards using SonarQube and GitLab pipelines - Tech: AWS Redshift, Python, Terraform, New Relic, SonarQube• Group Analytics Platform Innovation: - Led cloud-native analytics platform serving 10+ countries - Integrated LLM capabilities for advanced analytics - Built Golang microservices reducing response times by 70% - Achieved 50% cost reduction in resource management - Tech: AWS, Golang, LLMs, Docker, Fargate, EKS, Kubernetes, Terraform, New Relic, SonarQube• Enterprise Architecture Leadership: - Created blueprints adopted across Group Legal Entities - Led convergence in analytics, software engineering, big data - Built PaaS ecosystem for standardized software lifecycle - Reduced deployment time 80% via automated CI/CD• Security & Governance: - Implemented OWASP, ISO 27001, NIST standards - Established cross-country data governance framework - Zero security incidents while maintaining compliance (DORA) - Tech & Methodologies: Secret Manager, AWS KMS, IAM profiling, Least Privilege• Performance & Innovation: - Achieved sub-second query response times - Real-time analytics processing TB+ daily data - Tech: SQS, Kafka, Fargate, EKSTechnologies: AWS, Redshift, Python, Golang, Terraform, New Relic, SonarQube, GitLab, Docker, Kubernetes, LLMs, Fargate, Lamba, SQS, Kafka, Glue, Redshift

San Francisco, California, Stati Uniti D'America

• Backend Leadership: Directed development of Sysdig Secure product as Lead Backend Architect• Microservices Architecture: - Designed and implemented high-performance microservices using Golang - Achieved 99.99% uptime and 40% improved system response time - Scaled system to handle 1M+ daily security events• Data Engineering: - Architected real-time ETL pipelines with Elasticsearch processing 5TB+ daily data - Reduced data processing latency by 60% through optimized indexing - Implemented fault-tolerant data streaming architecture• Technical Leadership: - Led architecture design decisions and technical roadmap - Established development standards and best practices - Mentored team members in microservices architecture and Golang - Achieved 30% reduction in deployment cyclesTechnologies: Golang, Elasticsearch, Docker, Kubernetes, Microservices, ETL, Git

Milano, Lombardia, Italia

• Technical Leadership: Led cloud architecture design and implementation for enterprise clients• Cloud Architecture (GCP): - Orchestrated microservices deployment on GKE, Cloud Run, and Compute Engine - Designed event-driven systems using Pub/Sub, reducing data processing latency by 60% - Implemented serverless solutions with Cloud Functions for cost optimization - Managed cloud services: Datastore, Cloud Storage, Vision API, DocumentAI• Development & Best Practices: - Implemented DDD patterns and SOLID principles across Python microservices - Established TDD practices, achieving 90% code coverage - Built scalable REST APIs using Flask, Django, FastAPI - Leveraged AsyncIO for high-performance concurrent operations - Tech Stack: Python, Redis, PostgreSQL, VueJS• DevOps & Infrastructure: - Created CI/CD pipelines using Jenkins/Azure DevOps/Ansible - Managed GCP IAM and security policies - Reduced deployment time by 70% through automation• Data Science: - Developed text/data mining algorithms and classification models - Implemented random forest and multiclass classifiers - Integrated OCR solutions processing 100K+ documents monthly• Project Management: - Led cost estimation and optimization, reducing cloud spend by 40% - Open Source contributor to Python ecosystem - Mentored team of 8 developers in cloud-native development practicesTechnologies: Python, GCP, Kubernetes, Cloud Run, Pub/Sub, Firestore, Redis, PostgreSQL, VueJS, Jenkins, Ansible, Azure DevOps

Monza E Brianza, Italia

• Trading Systems Architecture: - Developed custom async IB API interface with Twisted/Asyncio (10K+ daily trades) - Built high-performance desktop trading software with PyQt5 and real-time market data - Created algorithmic trading systems with NumPy/Pandas (87% prediction accuracy) - Implemented real-time dashboards using Vue.js/Quasar, boosting efficiency by 50%• Backend Infrastructure: - Designed microservices architecture handling 1M+ daily requests * Python/Django/FastAPI for core services * RESTful APIs with Django-Rest Framework * XMLRPC proxies using Twisted (40% latency reduction) - Implemented async task processing * Twisted and Redis for queue management * 100K+ concurrent operations handled * Real-time event processing pipeline• DevOps & Monitoring: - Managed infrastructure automation with Ansible - Implemented comprehensive logging system * ELK Stack (Elasticsearch/Logstash/Kibana) * Real-time log analysis and alerting * Custom monitoring dashboardsTechnologies:• Backend: Python, Django, FastAPI, Flask, Twisted, Asyncio• Frontend: Vue.js, Quasar Framework, PyQt5• Data: Redis, Elasticsearch, NumPy, Pandas• Tools: Interactive Brokers API, Ansible, Git, ELK Stack

Arcore, Lombardia, Italia

• Data Engineering & ML: - Processed 100GB+ data using Python ecosystem * Built ML models with 95% accuracy * Tech stack: Pandas, NumPy, OpenCV2, TensorFlow - Automated data collection systems * Reduced manual effort by 80% * Used Python/Scrapy/Selenium for web scraping * Real-time data processing pipeline• Backend Development: - Implemented custom CRM solution * Integrated Django with MQTT protocols * Improved client response time by 40% * Real-time data synchronization - Created JAMStack websites with Hugo * Achieved 3x faster load times * Maintained 99.9% uptime• DevOps & Automation: - Streamlined deployment processes * Reduced deployment time by 70% * Automated infrastructure with Ansible * Custom Bash scripts saving 15+ hours weekly - Implemented monitoring and alerting systemsTechnologies:• Core: Python, Django, JavaScript, SQL, Bash• Data Science: Pandas, NumPy, OpenCV2, TensorFlow• Web: Hugo, JAMStack, Scrapy, Selenium• DevOps: Ansible, Git, MQTT