Francisco Sanhueza Matamala
Master in Applied Mathematics.
Data and ML Engineering
About me
I’ve built scalable pipelines, dealing with extraction, data warehousing and serving data for analytics, leading several projects with interdisciplinary teams and taking care of following strict standards of code quality.
Interested in implementing data infrastructure for data analytics and data science to help solving real world problems. Goal-oriented, team player and always learning something new.
I have worked as a Data Engineer in top Chilean startups, implemententing batch and streaming pipelines from scratch, using tools like Airflow, Bigquery, dbt, Prefect, Docker and Quix Streams.
Co-founder of the Santiago Tensorflow User group where we organize talks on state-of-the-art applications of Machine Learning.
I’m currently working as a Data Scientist at Noisegrasp and living in Mexico with my wife. If you want to work with me, click on this link to send me an email!
Featured projects
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I researched and built an scalable streaming pipeline using Quix Streams and InfluxDB to process wearables devices data.
I can bring knowledge of theory and practice on how to build machine learning products and tools for data science.
At Fintual, I took care of the design of the warehouse and mantainance of a Batch Pipeline using proven tools for testing and scalability.
Build scalable pipelines using tools like Prefect, S3, Docker and Kubernetes