- Scaled data pipelines with Dask, making it possible for huge chunks of data to be processed at a time.- Developed tools to accelerate the development of new data pipelines with Python, Airflow and Docker.- Acted as a Scrum Master in a squad of 5 people, which was responsible for building a platform to scrape and process data from the web.

- Maintained several of our code repositories, performing code reviews, implementing tests and automating checks and deploys with CI pipelines.- Deployed and managed cloud infrastructure in AWS with Terraform- Developed a tool to centralize and automatically deploy the documentation for our database tables, enabling the team to have quick and easy access to that information.

- Maintained and developed new features for our data pipeline. - Improved the reliability of our code base by implementing unit tests.- Allowed our Data Scientists to test out new ML recommendation algorithms in production, across groups of selected customers, by developing an experimentation pipeline- Improved our Data Lake's scalability by remodeling its infrastructure using AWS S3 and Athena.