FEDERICO CETRARO

AI & DATA ENGINEERING | 1:1 INFORMATIONAL SESSIONS
๐Ÿง‰ Born โ–ฎโ–ฎโ–ฎ
Blood โ–ฎโ–ฎโ–ฎ
๐Ÿ โ–ฎโ–ฎ Immigrant Story
Where Neural Networks Meet Ancient Wisdom
๐Ÿค– Built by AI, Guided by Human Vision
The entirety of this website was crafted and deployed by AI backed by precise engineer instructions. Want to learn how to do it and more? Let's meet!

About Me

Data & AI Professional offering 1:1 informational sessions with extensive hands-on experience across all three major cloud platforms. I provide informational guidance on data engineering challenges, cloud migrations, and AI implementations.

With a proven track record in both teaching and building production systems, I bring a unique blend of academic rigor and real-world pragmatism. Whether you're a curious individual, a startup planning your first cloud migration, or an enterprise optimizing ML pipelines, I provide informational insights grounded in battle-tested experience.

AWS / GCP / Azure
Data Engineering
AI & Machine Learning
Cloud Migrations
Docker & Kubernetes
Python & Data Pipelines
MLOps & DevOps
Technical Mentorship
Detailed Business Experience
Databricks & Spark
GitHub, Codeberg & Gitlab
Terraform / Infra as Code
System Architecture
ML Models Lifecycle
Chaos Orchestration!

What Clients Say

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"Federico helped us migrate our entire data pipeline to GCP in just three sessions. His expertise in cloud architecture and hands-on approach saved us months of trial and error. The ROI was immediate."
MC
Michael Chen
CTO, DataFlow Analytics
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"As a startup founder with limited technical background, Federico's mentorship was invaluable. He explained complex ML concepts in plain language and helped us build a production-ready model. Highly recommend!"
SP
Sarah Patterson
Founder, HealthTech Innovations
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"The Docker containerization strategy Federico designed transformed our deployment process. What used to take hours now takes minutes. His teaching approach made our team self-sufficient."
RL
Robert Lee
DevOps Lead, FinServe Corp
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"Federico's Databricks optimization reduced our processing time by 60%. His deep understanding of Spark and practical optimization techniques were exactly what we needed. Worth every penny."
AK
Aisha Kumar
Data Engineering Lead, RetailCore
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"Working with Federico on our MLOps pipeline was a game-changer. He didn't just fix our immediate issuesโ€”he taught us best practices that transformed how our entire team approaches ML deployment."
JM
James Morrison
ML Engineer, FinanceAI
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"Federico's AWS architecture guidance saved us thousands in cloud costs. His multi-cloud experience meant he could compare solutions objectively and find the best fit for our specific needs. Exceptional consultant."
LB
Lisa Brown
VP Engineering, LogisticsHub

Featured Projects

๐Ÿค–
AI-Powered Analytics Platform
Built a real-time ML inference pipeline processing 100K+ events/day using Apache Kafka, Kubernetes, and TensorFlow Serving. Reduced latency by 75% through optimized model deployment.
Tech: Python โ€ข TensorFlow โ€ข Kubernetes โ€ข GCP
โ˜๏ธ
Multi-Cloud Migration Framework
Designed and executed enterprise migration from on-premise to hybrid AWS/Azure architecture. Automated infrastructure provisioning with Terraform, achieving 99.9% uptime.
Tech: AWS โ€ข Azure โ€ข Terraform โ€ข Docker
๐Ÿ“Š
Real-Time Data Pipeline
Architected ETL pipeline using Apache Airflow and Databricks, processing 10TB+ daily. Implemented data quality checks and monitoring, reducing data incidents by 90%.
Tech: Airflow โ€ข Databricks โ€ข Spark โ€ข Python
๐Ÿ”’
MLOps Security Pipeline
Implemented end-to-end MLOps platform with automated model versioning, A/B testing, and rollback capabilities. Integrated security scanning and compliance monitoring.
Tech: MLflow โ€ข Jenkins โ€ข Docker โ€ข Python
๐Ÿค–
AI-Powered Analytics Platform
Built a real-time ML inference pipeline processing 100K+ events/day using Apache Kafka, Kubernetes, and TensorFlow Serving. Reduced latency by 75% through optimized model deployment.
Tech: Python โ€ข TensorFlow โ€ข Kubernetes โ€ข GCP
โ˜๏ธ
Multi-Cloud Migration Framework
Designed and executed enterprise migration from on-premise to hybrid AWS/Azure architecture. Automated infrastructure provisioning with Terraform, achieving 99.9% uptime.
Tech: AWS โ€ข Azure โ€ข Terraform โ€ข Docker
๐Ÿ“Š
Real-Time Data Pipeline
Architected ETL pipeline using Apache Airflow and Databricks, processing 10TB+ daily. Implemented data quality checks and monitoring, reducing data incidents by 90%.
Tech: Airflow โ€ข Databricks โ€ข Spark โ€ข Python
๐Ÿ”’
MLOps Security Pipeline
Implemented end-to-end MLOps platform with automated model versioning, A/B testing, and rollback capabilities. Integrated security scanning and compliance monitoring.
Tech: MLflow โ€ข Jenkins โ€ข Docker โ€ข Python

1:1 Informational Session Packages

Your Growth Journey ๐ŸŒฑโ†’๐ŸŒณ
Knowledge Expansion ๐ŸŒ€

Payment Methods

๐Ÿ’ณ
STRIPE
Card โ€ข Apple Pay โ€ข Google Pay
๐ŸŒ
WISE
International Bank Transfer
โšก
CRYPTO
Monero (XMR) โ€ข Litecoin (LTC)

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