Daniel Amariles

Masters Lecturer (Cloud Data Processing)

Cali, Valle del Cauca, Colombia
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Summary

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Daniel Amariles is a data engineering and AI practitioner with 11 years of experience building cloud-native, scalable data platforms and teaching advanced cloud data processing for a masters program. He blends hands-on expertise in Spark, Hadoop, Snowflake, ElasticSearch and LLM/ML tooling with strong AWS and GCP proficiency (including Bedrock, Redshift, Glue and BigQuery) to deliver production ML and data workflows. Currently splitting time between senior data engineering and Data & AI software design at Globant and lecturing at Universidad ICESI, he excels at translating research-stage solutions into operational pipelines. His background leading biodiversity data integration and GBIF coordination reveals a knack for complex, messy datasets and cross-organizational collaboration. Colleagues value him for pragmatic MLOps patterns and a track record of shipping resilient, observable systems in both research and enterprise contexts.
code11 years of coding experience
job4 years of employment as a software developer
bookUniversidad de los Andes
bookEngineer's degree Software Engineering, Engineer's degree Software Engineering at Universidad Icesi
bookCourse German (Deutsch) A1, Course German (Deutsch) A1 at Sprach Institut
bookUOC (Universitat Oberta de Catalunya)
languagesSpanish, English, German
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Stackoverflow

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Github Skills (20)

evaluation9
planning9
maven9
tomcat8
java8
monitoring7
biodiversity-informatics7
api6
machine-learning6
python6
map-viewer5
latitude-longitude5
viewer4
webgl-globe3
visualization3

Programming languages (5)

JavaRJavaScriptHTMLJupyter Notebook

Github contributions (5)

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Project Management of the Aich13 indicators
Contributions:142 commits, 98 pushes, 3 branches in 1 year 8 months
CIAT-DAPA/TextUtils

Oct 2017 - Feb 2018

Contributions:88 pushes, 1 branch in 4 months
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Daniel Amariles - Masters Lecturer (Cloud Data Processing)