Description

ENG: Data Engineer and AI Specialist with experience delivering high-impact projects in aviation, finance, and the public sector. I design scalable solutions using Python, Snowflake, Airflow, DBT, and AWS. I've led data migrations, pipeline automation, and machine learning models applied to forecasting, classification, and business intelligence. I can help you optimize your data workflows, build modern data infrastructures, and apply AI strategically to generate real value.

ES: Data Engineer y AI Specialist con experiencia en proyectos de alto impacto en sectores como aerolíneas, finanzas y sector público. Diseño soluciones escalables con Python, Snowflake, Airflow, DBT y AWS. He liderado migraciones, automatización de pipelines y modelos de machine learning aplicados a forecasting, clasificación e inteligencia de negocio. Puedo ayudarte a optimizar tus procesos de datos, construir infraestructuras modernas y aplicar IA de forma estratégica para obtener valor real.

Industry field of expertise

Languages

Spanish
Native or bilingual
English
Fluent
Italian
Fluent

Workplace preferences

Remote only

Primarily works remotely

IAG (INTERNATIONAL AIRLINES GROUP)
Data engineer
March 2024 - Today (2 years and 3 months)
Australia
Common Data Layer & GenIA Team: Engineer robust data solutions in collaboration with various airlines, enhancing the group's data capabilities with Python, DBT, and Snowflake. Tender Cost Modeling: Maintain and optimize data pipelines and ETL processes for cost modeling, leveraging AWS services such as S3, Athena, and Lambda to enhance data manipulation and storage. Logs Project: Lead the development of a scalable logging system using AWS and Snowflake/DBT to ensure traceability and accountability across the group. Implemented AWS Glue for data cataloging and ETL automation. Data Migration and Process Automation: Utilized AWS Data Migration Service (DMS) for seamless data transitions and automated synchronization tasks using Airflowwith DAG's sensors to manage data workflows efficiently.
MG GROUP
Data scientist
February 2021 - July 2022 (1 year and 5 months)
Financial Risk Analysis: Conducted statistical analysis and risk projections for financial portfolios using ensemble models Scikit-learn model building
AAIP
Data scientist
March 2020 - July 2022 (2 years and 4 months)
Argentina
Transparency Index and Data Analysis: Spearheaded the development of the Active Transparency Index, applying advanced predictive models like ARIMA and Prophet. Data Visualization and ML: Enhanced data presentation and reporting using Python and interactive visualization tools like Looker, Metabase and Flourish. Implemented ML using Scikit-learn and PyTorch for analytics and predictive modeling.