As the data architect at Movement Economics, Angel created and maintains our custom in-house data platform for analysis and reporting, develops data pipelines for ETL/ELT data from public data sources, implemented engineering standards across our team to improve data analysis development cycles, and has set up infrastructure for dashboard automatization and self-service.
Ángel has extensive experience with back end development and streaming & batch processing data using Ruby, Python, R, SparkR, and SQL. He uses stores such as Snowflake, MySQL, Redis, Mongo, Solr, ElasticSearch and Tableau, Jupyter, Streamlit and Superset to analyze data and produce visualizations. He started his career in full-stack web development, and is equally strong in PHP and JavaScript, and even a bit of shell scripting as well. He has spent the last two years developing NLP models and collaborating closely with researchers at Talking Points. Ángel has a Computer Engineering degree from the Universidad Nacional Autónoma.
Links to recent work at Movement Economics:
California Construction Employment Dashboard
See Angel’s Linkedin profile