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JuanLu H G
@juanluhg
Data Engineer
Espanha
Espanhol, Inglês
Sobre mim
I am a passionate computer engineer and Big Data developer specializing in Back-End development and data processing with Spark and Cloud technologies. I have extensive experience designing scalable ETL pipelines and cloud architectures on GCP and BigQuery. Currently, I am focusing my career on Machine Learning and Artificial Intelligence while pursuing a Master's in Bioinformatics.
Habilidades
JuanLu H G
offline •
Conheça meus serviços
ETLs de dados
I will write, optimize and debug pyspark and databricks etl pipelines
Experiência profissional
Data Engineer
Bluetab • Período integral
Mar 2026 - Present • 7 mos
Development of DBT models using the Medallion architecture. Implementation of tables and query optimization in BigQuery. Development of a table architecture in BigQuery and Cloud Run Jobs for running DBT. Creation of pipelines for running DBT models in Control-M
Data Engineer
GFT • Período integral
Apr 2021 - Apr 2026 • 5 yrs
Design and implementation of a complete data architecture on Google Cloud Platform (GCP) for a banking project, working independently in all phases: design, development, implementation, and functional and technical validation with stakeholders. Creation of scalable ETL pipelines using Spark-Scala, integrated with BigQuery for data storage and analysis, and deployed in Airflow. Leading a squad of two junior data engineers, supervising task planning, technical mentoring, and code reviews to ensure high-quality results. Collaborated with stakeholders to define cloud-native solutions on GCP to migrate the on-premises architecture. Developed and optimized Spark jobs in Scala, processing large volumes of structured and semistructured data for batch pipelines, focused on performance, modularity, and reuse across services, ensuring data quality, consistency, and traceability throughout the pipeline. Design and implementation of RESTful micro-services using Java and Spring Boot, containerized with Docker and deployed on OpenShift.
Data Scientist
intelia • Período integral
Mar 2021 - May 2021 • 2 mos
Development of recommendation algorithms using Python and machine learning libraries. Performed deployment tasks for these models in the IBM cloud using the Watson service.
