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Franco LiontiFL
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Franco Lionti

@francolionti

I build reliable data pipelines, AI/ML workflows, and scalable Python systems for data-intensive products.

Argentina
Message

What I'm looking for

I'm looking to build reliable, scalable data and AI/ML systems, contributing across pipeline engineering, automation, data architecture, and production-focused machine learning workflows.

I build reliable data pipelines, ETL/ELT workflows, automation, and AI/ML systems using Python, SQL, Spark, Airflow, and Google Cloud.

For a financial platform, I built a high-performance Python ingestion pipeline that structured 330M+ historical records in Parquet. I used DuckDB for out-of-core compaction, sorting, and atomic deduplication, optimizing for low RAM usage and dependable re-runs.

I also developed leak-free walk-forward backtesting and portfolio optimization workflows using Alpha CAPM rankings, Random Forest, and Hierarchical Risk Parity. My work spans API ingestion, data modeling, feature engineering, analytics notebooks, and ML-oriented pipeline components.

At Google Matter Engineering Services, I build Python automation tools for the open-source Matter SDK and led a migration of test definitions from YAML to Python. Previously at Grid Dynamics, I developed distributed pipelines with Java, Scala, Apache Spark, and Apache Airflow.

Experience

Work history, roles, and key accomplishments

GS
Current

QA Automation Engineer

Google Matter Eng Services

Nov 2025 - Present (10 months)

Build Python automation tools to improve the quality, stability, and technical robustness of the open-source Matter SDK. Led the migration and refactoring of test definitions from YAML to Python, applying modular design, Git workflows, and maintainable software engineering practices.

FR

Data / AI Engineer

Freelance

Apr 2026 - Jul 2026 (3 months)

Designed and built a high-performance Python ingestion/ETL pipeline for a financial platform, structuring 330M+ historical records in Parquet format. Integrated DuckDB for out-of-core data compaction, sorting, and atomic deduplication, and developed a leak-free walk-forward backtesting framework and portfolio optimization strategies.

GD

Big Data Engineer Intern

Grid Dynamics

Jun 2025 - Dec 2025 (6 months)

Developed distributed data pipelines using Java, Scala, Apache Spark, and Apache Airflow. Collaborated with senior engineers on data architecture design focused on scalability, performance, and reliability.

FR

Backend / Web Scraper

Freelance

Jan 2025 - Jun 2025 (5 months)

Designed and deployed a large-scale web data extraction solution covering 300,000+ domains for risk mitigation and cryptocurrency fraud prevention.

Education

Degrees, certifications, and relevant coursework

Universidad Nacional de Tres de Febrero logoUF

Universidad Nacional de Tres de Febrero

Acoustic Engineering, Acoustic Engineering

Pursuing an Acoustic Engineering degree with an expected graduation in 2027.

Google logoGO

Google

Professional Data Engineer, Data Engineering

Earned the Google Cloud Professional Data Engineer certification in January 2026.

AS

Apache Spark

Apache Spark with Scala, Data Engineering

Completed additional training in Apache Spark with Scala.

RS

Relational Databases and SQL

Relational Databases and SQL, Data Engineering

Completed additional training in relational databases and SQL.

JD

Java Developer

Java Developer, Software Development

Completed additional training as a Java Developer.

DA

Data Structures & Algorithms

Data Structures & Algorithms, Computer Science

Completed additional training in data structures and algorithms.

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