Daniel Andrade

Formed to perform in demanding environments with a personal appetite for learning new skills. My approach is to nurture processes that lead to constant improvement. In my past roles, I've been involved in growth, data analytics, data science, and data engineering departments in organizations, from educational institutions to construct-tech and e-fulfillment startups. I face projects with attention to customer's business needs and emphasize on data processing improvement, in collaborating with colleagues to implement productive processes and providing well tested code. My related work experience includes: implementing data science models or creating data related applications such as data-lakes/data warehouses/data pipelines/ data features using scala or pyspark.