natanmatos

Pipeline Architecture: Developed production-grade data pipelines using Apache Airflow and Python, processing 500GB+ daily from multiple educational platforms and payment systems. Performance Optimization: Implemented Redshift and Snowflake-based data warehouse with optimized query performance, reducing dashboard load times by 60% and supporting real-time student progress tracking. Configured automated data loading processes from GCP data lake into Snowflake. Executive Reporting: Created strategic dashboards tracking student engagement, revenue metrics, and operational KPIs, directly supporting growth decisions. AWS Infrastructure: Managed end-to-end AWS data stack (S3, EC2, Redshift) with automated backup and disaster recovery, maintaining 99.9% uptime SLA.

AI/ML Innovation: Fine-tuned Large Language Models using LangChain, achieving 35% improvement in ad conversion rates through personalized content generation for 100+ campaigns. Scalable Data Architecture: Built high-performance vector search pipeline using FAISS and ChromaDB, processing 1M+ ad variants with <200ms query response time. Real-time Analytics: Implemented RAG system handling 50k+ daily queries for dynamic ad optimization, integrating Google Ads API with AWS infrastructure. Performance Marketing Impact: Optimized ROAS and ROI across $500k+ annual ad spend, developing automated bidding strategies that improved client performance by 25%.

Campaign Performance: Managed and optimized Google Ads campaigns with $1M+ annual spend, achieving 40% improvement in conversion rates through advanced funnel analysis. Advanced Analytics: Performed complex SQL analysis on customer journey data, identifying optimization opportunities that increased client ROI by 30%. A/B Testing Framework: Designed and executed statistical testing protocols for ad creative and landing pages, establishing data-driven decision framework adopted across 20+ client accounts. Client Reporting: Developed executive dashboards using Looker Studio, providing actionable insights that directly influenced $2M+ in client media investment decisions.