Adrián Ramos

Development of business segmentation and profitability analyses for the identification of patterns and business opportunities. Construction and optimization of ETL processes and data transformations using PySpark and SQL on Big Data environments. Design of business metrics and indicators, performing quality and consistency validations on large volumes of information. Elaboration of analytical studies and visualizations for the communication of results to business teams and stakeholders. Participation in the automation and improvement of data exploitation processes, contributing to the efficiency and scalability of analytical solutions.

Designed and operated cloud-native data-oriented platforms in production environments, applying Cloud Computing and DevOps practices. Deployed scalable infrastructures on AWS and Azure using Infrastructure as Code (Terraform). Implemented and operated containerized workloads in Kubernetes, integrating GitOps flows with Argo CD. Designed and maintained CI/CD pipelines with GitHub Actions for automated deployment of applications and infrastructure. Built Big Data pipelines in Databricks with Apache Spark, covering ETL processes and large-scale distributed processing.

Developed and evaluated machine learning models in an applied research context on large data volumes. Designed data acquisition pipelines using web scraping and API consumption. Performed cleaning, preprocessing, and integration of textual data, mainly from social networks. Applied Natural Language Processing (NLP) techniques for sentiment analysis and semantic extraction. Trained and validated models aimed at identifying behavioral patterns, documenting results and conclusions.