<p>Data Engineer working in GCP cloud. Building infrastructure to parse and interpret blockchain and 3rd party data into a Data warehouse / Data lake. Pyspark, DBT, Airflow, terraform, GCF</p>

Data Engineer

I work within the ML team developing tools and processes for building, training , deploying and monitoring ML models. On the data science side I work with models to optimize revenue in email campaigns.

Machine Learning Engineer

First data scientist and data engineer. Responsible for data engineering, reporting and data analysis. Setup a framework for collecting, analyzing and extracting bussiness 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-behaviour analysis, growth analytics.


As part of the data science team, I’ve Worked in the research and implementation of recommender systems for personalization. Used Apache Spark jobs to leverage Matrix Factorization and other algo- rithms, used python and jupyter-notebooks for data analysis, building models and model evaluation. Developed Java web-services to productionize these models.

Big data developer

End to end development of a big data application to perform market analysis on the MercadoLibre platform. AWS, S3, Python, Celery, Apache Spark, Luigi, MongoDB, Flask.

Personal details

Diego N.

Summary

Technical skills

Work Experience

Education