
Franco Lionti
@francolionti
I build reliable data pipelines, AI/ML workflows, and scalable Python systems for data-intensive products.
What I'm looking for
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
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.
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.
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.
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.
ML & Data Engineer Intern
UNTREF
Jan 2024 - Jun 2024 (5 months)
Researched and implemented Deep Learning models for speech noise reduction, including DEMUCS, U-Net, and HiFi-GAN.
Education
Degrees, certifications, and relevant coursework
Universidad Nacional de Tres de Febrero
Acoustic Engineering, Acoustic Engineering
Pursuing an Acoustic Engineering degree with an expected graduation in 2027.
Professional Data Engineer, Data Engineering
Earned the Google Cloud Professional Data Engineer certification in January 2026.
Apache Spark
Apache Spark with Scala, Data Engineering
Completed additional training in Apache Spark with Scala.
Relational Databases and SQL
Relational Databases and SQL, Data Engineering
Completed additional training in relational databases and SQL.
Java Developer
Java Developer, Software Development
Completed additional training as a Java Developer.
Data Structures & Algorithms
Data Structures & Algorithms, Computer Science
Completed additional training in data structures and algorithms.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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