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Julio Steven Renteria RamirezJS

Julio Steven Renteria Ramirez

Senior Data Engineer - Europe

300 €/día
Barcelona, ES
8-15 años

Tiempo medio de respuesta: 1h

Acerca de Julio Steven

Me presento como profesional del Dato, he trabajado para diferentes clientes, llevando a cabo procesos ETL, modelado de datos y reporting.

Para llevar a cabo mis proyectos siempre analizo los problemas y aporto soluciones consistentes en cada fase del desarrollo.

Principalmente utilizo las siguientes tecnologias:
- Modelado de datos utilizo Python (Numpy, Pandas, Spark)
- Soluciones de Machine Learning (TensorFlow, Keras y R)
- Reporting con PowerBI o Tableau

La tarifa es variable según (proyecto, dimensiones del dato y resultados)

  • Español

    Bilingüe o nativo

Acepta trabajo presencial
Barcelona (hasta 50 km), Madrid (hasta 50 km)

Experiencia

  • General Software
    Lead Data
    TELECOMUNICACIONES
    noviembre de 2022 - octubre de 2023 (1 año)
    Madrid, España
    • Establish data-driven KPIs and develop performance metrics
    • Maintain data governance policies, standards, and procedures;
    • Design of the technical strategy and quality control for products data
    • Build Tools to control IT platform and the Implantation of the Data Architecture.
    • Design & maintain internal cloud applications for the organization.
    • Evaluate technologies, ensuring compliance, security for Hadoop Ecosystem
    • Ensure projects are delivered on time, within budget
    • Managing data governance, analytics strategy, interpretation, and reporting.
    • Leading strategy for Enterprise Architecture in an Agile environment.

    TECHNOLOGIES:
    • AWS (Glue, Lambda, CloudFormation, EMR, Redshift, RDS)
    • CI/CD (Devops, Gitlab, Bitbucket)
    • Architecture (UML, Mesh)
    • Big Data: Python, SQL
    • Agile Methods (Scrum, Azure Devops)
  • PARADIGMA DIGITAL
    Technical Lead of Data
    TELECOMUNICACIONES
    febrero de 2021 - octubre de 2022 (1 año y 9 meses)
    Barcelona, España
    ROLES:
    • Design and maintain an efficient and scalable data architecture
    • Leading architecture of analysis for Cloudera System
    • Ensure the availability of data and services
    • Migration of Legacy Platforms to Cloud Environment.
    • Management of teams, fulfillment deadlines, and defining cost
    • Collaborate with cross-functional teams
    • Perform risk management, assess performance
    • Identify requirements and building Data Architecture
    • Deployment of models (time series, forecasting, anomaly detection, etc).
    • Create a IT solution by requirements, infrastructure and business
    • Building data infrastructure reusable for business
    • Data Solutions: SnowFlake & Databricks for integration cloud AWS & Azure

    TECHNOLOGIES:
    • Azure (Data Lake, Data Factory, DWH, Databricks, CosmosDB, Blobs)
    • AWS (Glue, Lambda, CloudFormation, EMR, Kinesis, Redshift)
    • CI/CD (Devops, Gitlab, Bitbucket, Postman, Sonar, Nexus, Ansible)
    • Architecture (UML)
    • Big Data: Python, PySpark, SQL
    • API Rest, Microservices, Openshift, Databricks
    • Agile Methods (Scrum, Azure Devops)
    Big Data Python Microsoft Azure
  • K-Tuin
    Data Architect
    E-COMMERCE
    mayo de 2016 - mayo de 2019 (3 años)
    Zaragoza, Spain
    ROLES:
    - Develop & implementation of data migration, analysis, and reporting
    - Cooperate with different teams to define data solutions
    - Develop a strategy on data management and creation of data route
    - Management of teams, fulfill deadlines and costs projects
    - Implementation of pipelines on the process with Azure
    - Management on DWH and architecture of analysis on his scalability
    - Design of algorithms to predict the trend of customers

    TECHNOLOGIES:
    - Azure (DataLake, DataFactory, DWH, Databricks, Synapse, CosmosDB y Blobs)
    - AWS (Lex, SageMaker, EMR, DynamoDB, Athena, Kinesis, Redshift, QuickSight)
    - Relational Databases (SqlServer, Oracle, PostgreSQL)
    - No Relational Databases (Cassandra, MongoDB)
    - Big Data (Spark, Hadoop, Hive, Scala)
    - Reporting (PowerBI [Dax], QlickView, Tableau)
    - Machine Learning (TensorFlow, Scikit, Keras, NLP, Jupyter)
    - Agile Methods (Scrum, Kanban, Jira)

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Formación

  • Business Intelligent & Data Science
    edX
    2014
    Business Intelligent & Data Science

Certificados

  • Azure Administrator
    Microsoft
    2016
  • AWS Data Analytics
    Cloud Academy
    2022

Conjunto de habilidades profesionales (23)

Categorías