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🤖 Francisco Sánchez Oliver 💻

Software/Big Data/MLOps Engineer

Graduated in Software Engineering. University of Almería 2017

Python Apache Spark Git MSSQL Visual Studio Code Jupyter Notebook eclipse Spring Boot Jenkins Maven Scala Hadoop Flask pytest PostgreSQL Oracle MySQL Hive bash Docker CI/CD Microsoft Azure Databricks Linux JavaScript HTML CSS Angular React

🔧 Working Experience 🔨

Currently working here since 11/2023 as MLOps Engineer Working in the MLOps architecture department.

technologies:

  • MLflow
  • Spark
  • Python
  • Machine learning
  • Azure
  • Databricks
  • MLOps
  • Machine Learning Architecture
  • Cloudera
  • Kedro

functions:

  • Develop, design, and maintain a proprietary MLOps framework.
  • Migration from on-premise (Cloudera) to the cloud (Databricks).
  • Productize Data Scientists projects.
  • Test state-of-the-art machine learning models within the company architecture.

from 09/2022 to 11/2023 as Big Data Engineer

technologies:

  • Spark.
  • Python
  • Scala
  • Azure
  • Databricks

functions:

  • Develop ETL pipelines. Develop data pipelines using Spark, pandas, and Scala.
  • Migration to Databricks. Productize an existing project, improving its code quality.
  • Define and implement Data Mappings.
  • Create CI/CD pipelines with Azure Pipelines.
  • API development with FastAPI. Create an API for an ingestion ingestion engine.
  • Maintain and develop old systems. Monitor and update data pipelines developed in Azure Data Factory and SQL Server.

from 07/2019 to 08/2022 as Big Data Engineer

  • Data ingestion.
  • Permissions management.
  • Big Data processing with Spark.
  • Creation of data pipelines with Spark, Python and Kedro.
  • Data analysis and reporting: SQL, Hive, Impala, Jupyter Notebooks.
  • Code improvements, scalability, efficiency, maintainability.
  • Creation of a programming standard for the department.
  • Monitoring the correct use of Git in department.
  • Deployment to production environment using Jenkins, Docker and own tools.
  • Maintenance of legacy programs.
  • Management of small teams with Scrum, Jira

from 10/2018 to 07/2019 as Full Stack Developer
Project: Olympic Games Tokio 2020
Software engineer for the Tokyo 2020 Olympic Games. Making developments that involve both the front and the back. Technologies used: Java, HTML, CSS, Javascript, Ajax, JQuery, Bootstrap, XML, Json.

from 05/2018 to 10/2018 as BackEnd Developer Software engineer for a mass-media developing mostly in the back with: Java, Springboot, Docker, Git, Jenkins, Junit, Couchbase.

from 11/2017 to 10/2018 as FrontEnd Developer Front-end developer for the financial sector (core banking), using mostly Javascript and Java.

from 03/2017 to 11/2017 as Database Admin Admin of an Oracle database. Development of apps with vba for Access and Excel.

from 03/2016 to 10/2017 as Full Stack Developer and Android Developer Develop a web page with PHP and Drupal. Development of an AndroidTV application using Android with Java, Retrofit and SQL.

Anurag's GitHub stats

Pinned

  1. kmeans kmeans Public

    Own implementation of kmeans

    Jupyter Notebook 1

  2. machine_learning_training machine_learning_training Public

    machine learning theory and exercises

    Jupyter Notebook 1