Jhovan Brigoli

Led technical discoverability improvements across site architecture, crawlability, schema markup, canonicalization, and Core Web Vitals to improve organic rankings for 200+ target health keywords. Engineered structured Q&A and FAQ content for answer-engine visibility, increasing zero-click answer exposure by 45% and developing citation-friendly GEO patterns. Built a multi-channel visibility dashboard integrating Google Search Console, Ahrefs, and custom AI-citation tracking to measure rankings, snippet capture, and GEO mention frequency.

Led backend platform engineering for Python and Node.js microservices on AWS, supporting real-time data orchestration and engagement analytics across multi-region infrastructure. Architected real-time registration and ticketing pipelines handling 25,000+ concurrent registrations per event across international locations, including onboarding, badge assignment, access control, and confirmation delivery. Built Salesforce, HubSpot, and Marketo integration services for real-time synchronization, B2B matchmaking, automated lead routing, follow-up workflows, and pipeline tracking for 500+ exhibitors per event. Designed AWS SQS/Lambda event-driven workflows and PostgreSQL/Redis services enabling 25,000 attendee profiles per event, sub-second QR lookup, scan deduplication, and instant lead export. Deployed containerized services on AWS ECS with autoscaling and CloudFront, sustaining 10x traffic spikes with zero downtime while enforcing GDPR/CAN-SPAM controls across six jurisdictions.

Built scalable Python backend services and multi-tenant data pipelines for an enterprise platform serving 1,300+ organizations globally, focusing on high availability, integrations, and compliant data handling. Designed Python REST APIs and webhook adapters for third-party integrations enabling real-time bidirectional synchronization with robust error reconciliation. Integrated SQS and Kafka for asynchronous processing and optimized PostgreSQL schemas across millions of records, reducing query latency by 50%. Used Redis and MongoDB for low-latency state and preference data. Containerized Python services on AWS (EC2/ECS/Lambda) and implemented GDPR-sensitive consent-gated collection, encryption, automated deletion, and CloudWatch auditing. Established GitHub Actions CI/CD pipelines to reduce deployment cycles and implemented pytest coverage above 85% for APIs, integrations, and asynchronous workflows.