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Malt Strategy
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Malt Tech Trends 2026
Iván BarrioIB

Iván Barrio

Supermalter

MLOps, Data Science, Big Data, Business Analyst

€450/day
5 projects
Madrid, ES
8-15 years
MLOps
Data integration (ETL, ELT and data warehousing)
Cloud Platforms and Infrastructure
Batch Processing
Database Management (e.g., SQL, NoSQL)

Average response time: 1 hour

Freelancer profile translated to English.
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About Iván

As a Data and MLOps Engineer, I have led transformation teams and projects in multinational organizations, highlighting my ability to drive quantifiable improvements. I have developed data pipelines in cloud environments such as Google Cloud Platform and AWS, using tools like Apache Airflow, Python, PySpark, and SQL. Specialist in the life cycle management of Machine Learning models using MLflow for experiment tracking, model registration, and versioning. Expert in orchestrating ML workflows with Kubeflow Pipelines for complete MLOps cycle automation. I have implemented ETL processes with data quality control and advanced MLOps techniques for model production. I maintain a pragmatic approach, combining continuous learning and strategic vision to drive sustainable results.
Digital and IT Services
Banking and Financial Services
Consulting and Audits
IoT (Internet of Things)
Digital Business Models

  • Spanish

    Native or bilingual

  • English

    Fluent

  • French

    Fluent

  • German

    Basic

Remote only
Primarily works remotely

Experience

  • Leboncoin (Adevinta)
    Data Engineer at Leboncoin
    June 2025 - December 2025 (6 months)
    Development of data pipelines with Apache Airflow in an AWS environment. Processing and transformation of data using Python, PySpark, and SQL. Implementation of ETL processes with data quality control using Great Expectations.
    Airflow Python SQL ETL AWS
  • Equifax
    Data and MLOps Engineer at Equifax
    DIGITAL AND IT
    December 2023 - June 2025 (1 year and 6 months)
    Development of data pipelines in Apache Airflow in a Google Cloud Platform environment. Creation of programmatic extraction queries and application of MLOps techniques for calculating different credit scores. Implementation of CI/CD pipelines with Cloud Build and artifact management in Artifact Registry.
    Airflow Google Cloud MLOps CI/CD BigQuery
  • Barcelona de Serveis Municipals, S.A.
    Data Engineer at Barcelona de Serveis Municipals, S.A.
    April 2023 - December 2023 (8 months)
    Geostatistical calculation project using Apache Sedona and Apache Spark in Databricks. Management and analysis of 16 million daily data points on MongoDB/Cosmos DB databases. Implementation of Machine Learning models with PySpark MLlib.
    Databricks MongoDB Machine Learning Spark Apache Spark MLlib
Check out Iván's experience

Reviews

5.0

Out of 3 ratings

N

Noelia

Equifax Iberia

Several months project

-

Reviewed on 7/15/2025

The main task performed was the automation (DAG) in Google Cloud Composer of executions on BigQuery tables, incorporating the results into a new table. The solution also had to control that the data was already available in the tables. The project was a success.
N

Noelia

Equifax Iberia

Reviewed on 2/5/2025

Committed from the first minute to the project. Broad technical knowledge in Cloud tools. Contribution of ideas, quick, robust, and efficient solutions. Best practices, clear and structured procedures.
Show all 3 reviews

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Education

  • Master in Artificial Intelligence and Advanced Analytics
    MSMK
    2018
  • Business Analytics
    Universidad Europea
    2018
Check out Iván's education

Certifications

  • Professional Cloud Architect
    Google Cloud Platform
    2023
    Cloud Architect MLOps Data Engineer

Skill set

Python
Data Analysis
Data Science
MLFlow
SQL
Software Architecture
CI/CD Management
Cloud Administration
Cloud Integration
DevSecOps
Infra as Code
Scripting Automation
Test Environment Management
Containerization and Virtualization
Serverless Computing
Data Privacy (GDPR, CCPA)
Least Privilege Principles
GRC (Governance, Risk and Compliance)
Risk and Vulnerability Assessment
Algorithms and Data Structures
Data Cleaning and Preprocessing
Data Integrity and Governance
Data Migration and Backup
ETL (Extract, Transform, Load) Processes
Data Pipelines and Warehousing
Digital Transformation
IT Project Management
IT Architecture
Embedded software
System Integration
IT Service Management
IT Strategy
Machine Learning
CI/CD
Cloud Build
Google Cloud
Azure DevOps
Jenkins
Google Composer
Apache Airflow
Airflow
BigQuery
SQL Server
CosmosDB
Streamlit
MongoDB
Microsoft Azure
Composer
Big Query
Dataflow
GCP Dataflow
Apache Beam
Kubernetes
GKE
IT Architecture
CICD
Vertex AI
Kubeflow
AIOPS
Teaching
Teacher
Sedona
PySpark
Apache Spark
Apache Spark MLlib
Xcode
Android Studio
Web Design

Categories