C

Cristobal

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Data engineer
Chile

Contact Cristobal regarding: 
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Full-time jobs
Starting at USD1K/month
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Starting at USD10/hour
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Starting at USD1K/month

Timeline


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Résumé


Jobs verified_user 0% verified
  • SEIDOR S.A.
    Data engineer
    SEIDOR S.A.
    Sep 2024 - Current (1 year 7 months)
    Como Data Engineer, trabajo utilizando dbt y Google Cloud Platform (GCP) para realizar ingestas de datos y resolver problemas de negocio. Mi experiencia incluye la implementación de soluciones de infraestructura como código (IaC) mediante Terraform y la gestión de flujos de trabajo de datos utilizando herramientas como Airflow y Fivetran. Además, aplico principios de DevOps y CI/CD para optimizar el ciclo de vida del desarrollo de datos. Aunque la gestión de API gateways y la arquitectura de microservicios se identificaron como habilidades no relevantes, he trabajado con funciones en la nube que llaman a APIs y he desarrollado integraciones de tipo microservicio, lo que ha mejorado la eficiencia y la escalabilidad de nuestras soluciones de
  • Equifax
    Data Engineer
    Equifax
    Oct 2022 - Apr 2024 (1 year 7 months)
    As a Data Engineer, I led the team in the data ingestion area, focusing on optimizing processes and ensuring efficient data flow. I organized and implemented automation strategies for data ingestion during system migration, enhancing overall productivity. Utilizing Scrumban methodology, I supervised tasks to foster an agile environment that promotes team collaboration and efficiency. I supported team members in their tasks, facilitating their professional growth and development. Additionally, I developed solutions in C# for the extraction of tables from databases, enabling massive data transfers to GCP buckets. I created Python scripts to automate the generation of tables and views in BigQuery, streamlining data management processes. Conduc
  • 2
    Senior Data Engineer
    23 People for Equifax
    Nov 2021 - Oct 2022 (1 year)
    As a Senior Data Engineer, I was responsible for generating jobs in the cloud using Apache Beam and Java, ensuring seamless integration via API for non-relational database structures. My role involved modeling non-relational databases with the Apache Avro structure and developing indices based on non-relational data through decision trees and put-mean ratios, enhancing data accessibility and performance. I utilized gRPC and Protobuf for system integration, effectively managing large volumes of data. Additionally, I employed GitHub Actions to automate CI/CD processes, streamlining our development workflows and improving deployment efficiency. This integration of automation tools not only optimized our development cycle but also reinforced ou
  • I
    IT Project Engineer
    Inmobiliaria Galilea
    Aug 2019 - Nov 2021 (2 years 4 months)
    As an IT Project Engineer, I was responsible for a range of critical tasks that ensured the successful development and integration of internal applications. My role included database modeling for application development, creating microservices to facilitate the migration of integrations from local servers, and migrating ETL processes to AWS cloud environments. I implemented APIs for seamless system integration and managed data migration for a new commercial system, providing essential support to the commercial area in utilizing sales payment management systems. Additionally, I oversaw the operation of payment processes and reconciliations, ensuring accuracy and efficiency. My expertise in SAP Business One allowed me to integrate it effectiv
Education verified_user 0% verified
  • D
    Msc
    DIEGO PORTALES UNIVERSITY
    Jan 2022 - Current (4 years 3 months)
  • D
    Bachelor's Degree
    DIEGO PORTALES UNIVERSITY
    Jan 2013 - Jan 2018 (5 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • A
    Artificial Intelligence and Machine Learning
    Jan 2024 - Sep 2024 (9 months)
    • Develop a new strategy for estimating random model regressions. • Estimation by maximum entropy for transport choice models, using regressions with random parame ters, being able to obtain probabilities, and even more importantly, effects on passenger choices, their willines-to-pay, and determine collinearity beteween parameters, or between parameters and the error.