Skilled Data Engineer focused on using data science and data engineering to help companies leverage data in favour of their product/business. Demonstrated proficiency in deriving valuable insights from data to solve business problems. I have a strong engineering background and significant experience as a backend, front-end, and full-stack developer allowing me to autonomously build solutions end-to-end. Highly proactive, I have a keen interest in opportunities focused on data science and machine learning.
Create and implement data analysis pipelines, including data access, ingestion, munging / manipulation / cleansing, analysis / modelling, testing, deployment / integration into business applications and services.
Enhance operational aspects of businesses by increasing control of the company's data.
Working in cross-functional teams to provide data-driven solutions for increased efficiency and productivity.
Performed data engineering, reporting and data analysis, managing all data operations across the company.
Set up a framework for collecting, analyzing, and extracting business value from the events of multiple products.
Leveraging Apache Airflow to run data workflows, AWS redshift as an analytical database, DBT to model data, Metabase to produce dashboards, Jupyter-Notebooks to run custom analysis and reports. Also A/B testing, user-behavior analysis, growth analytics.
Worked as a member of the data science team, researching and implementing product recommendation models in Apache Spark and then placing those models into a production environment.
Used Apache Spark jobs to leverage Matrix Factorization and other algorithms, used python and Jupyter-notebooks for data analysis, building models, and model evaluation.
Developed Java web-services to bring these models into production.
Decentraland is a startup focused on creating a virtual world owned by its users.
Launched in 2020, Decentraland has cultivated a strong community of over 10,000 users.
The Lead Data Engineer built the company's data infrastructure from the ground up, including data engineering, data analysis, reporting, and user behavior analysis using AWS, Python, Airflow, S3, Redshift, and other technologies.
Education
BSc. in Computer Science
Instituto Tecnologico de Buenos Aires
2005 - 2010 (5 years)
XSeries Big Data; Verified Certificate for Introduction to Big Data with Apache Spark; Verified Certificate for Scalable Machine Learning.
edX Certifications
Machine Learning Specialization; Machine Learning: Clustering and Retrieval; Machine Learning: Classification; Machine Learning: Regression; Functional Programming Principles in Scala.