Daniel Alonso Pujol
About Daniel Alonso Pujol
Daniel Alonso Pujol is a Data Engineer with extensive experience in orchestrating data workflows using Apache Airflow and implementing cloud-based solutions with AWS and Google Cloud Platform services.
Work at Keepler
Currently, Daniel Alonso Pujol serves as a Data Engineer at Keepler Data Tech, a position he has held since 2021. In this role, he focuses on developing and implementing data engineering solutions. His work involves utilizing various cloud services and tools to manage and transform data efficiently.
Previous Experience in Data Engineering
Before joining Keepler, Daniel worked as a Data Engineer at indigitall from 2020 to 2021. He also held a position at Minsait as a Data Engineer from 2019 to 2020. His roles involved leveraging technologies for data processing and analysis, contributing to his expertise in the field.
Experience as a Business Analyst
Daniel Alonso Pujol began his career as a Business Analyst at Ubisoft, where he worked from 2016 to 2018. This role provided him with insights into business operations and analytics, which he later applied in his data engineering career.
Education and Expertise
Daniel studied at Universidad Complutense de Madrid, earning a degree in Economics from 2010 to 2016. He further enhanced his skills by completing a Data Analytics Bootcamp at Ironhack in 2019. His education laid the foundation for his proficiency in data engineering and analytics.
Technical Skills and Specializations
Daniel is proficient in using Apache Airflow for orchestrating complex data workflows. He has experience with AWS services, including Glue, Lambda, and DynamoDB, and utilizes Google Cloud Platform services such as Cloud Functions, BigQuery, and Cloud Run. Additionally, he is skilled in using PySpark for big data processing and analysis.