Actual footage from production (every single day)

Fork this repository and customize! Complete implementation with landing page, interactive animations, and auto-updating workflows.

Last updated: automatically every morning • Status: 🔥 Everything is fine 🔥

Data Engineer | Open Data Advocate | Analytics Pipeline Architect
"In Data We Trust, In Backups We Believe"
Transforming public data into accessible insights. Building scalable data solutions with open-source tools.

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🎯 Core Mission: Democratizing Data Access

Building bridges between complex public datasets and accessible insights

• 🚀 4+ Contributors on Osservatorio platform with growing community
• ⚡ <100ms analytics query performance optimization
• 📊 65% Test Coverage across production-ready codebases
• 🌍 15+ Open Source repositories supporting data democracy

Osservatorio democratizes access to Italian statistical data through automated pipelines and intuitive visualizations. Growing community with 4+ active contributors and production-ready infrastructure.

• Robust ETL pipelines for ISTAT data with automatic retries and circuit breakers
• Interactive Streamlit dashboards (React coming soon) for demographic and socio-economic analysis
• Multi-format export (CSV, Excel, Parquet) for maximum interoperability
• Contributor-friendly architecture with complete documentation and 65% test coverage
• Active community with regular discussions and collaborative development

Implementing hybrid persistence (DuckDB + SQLite to PostgreSQL) for <100ms analytics queries. Seeking contributors for data modeling and performance optimization. Join the discussion →

Fast, lightweight library and CLI tool for CSV and JSON data profiling written in Rust. Handles large files (GB+) with intelligent sampling and provides professional HTML reports.

• ⚡ Lightning-fast analysis: Milliseconds for small files, ~3s for 115MB with 99.6% accuracy
• 🔍 Comprehensive profiling: Auto-detects data types, nulls, duplicates, outliers, format inconsistencies
• 📈 Scalable architecture: Smart sampling for large datasets without memory issues
• 🎨 Professional output: Colored terminal display and HTML reporting
• 🦀 Rust performance: Zero-runtime dependencies, memory-safe, ultra-fast execution

data_stack = {
    "orchestration": ["dbt-core", "Python 3.11+", "Poetry", "Docker"],
    "systems": ["Rust", "CLI tools", "performance-critical apps"],
    "storage": ["DuckDB", "PostgreSQL", "SQLite", "Parquet"],
    "analytics": ["pandas", "numpy", "streamlit"],
    "visualization": ["Power BI", "Plotly", "Excel"],
    "current_status": "🔥 Everything is fine 🔥"
}

• Data Modeling: Multi-layer architectures (staging → core → marts)
• Pipeline Design: ETL/ELT with integrated validations and audit trails
• Performance Engineering: Query optimization, Rust CLI tools, sub-second data processing
• API Integration: SDMX, JSON, XML parsing from government sources

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🏆 Quick Stats: Focus on data engineering • Automated ETL pipelines • Open Source advocate • 85% Python, SQL, Power BI

• Consulting on data engineering and analytics architecture
• Collaborations on open data initiatives and public sector projects
• Speaking engagements on democratizing data access
• Mentoring junior data professionals

• Contributors for Osservatorio project expansion
• Data partnerships with Italian public institutions
• Open source maintainers for knowledge sharing