Responsibilities & achievements

- Led the development of a comprehensive solution aimed at transforming PedidosYa into a 100% data-driven company. This initiative involved leveraging advanced technologies such as Python, Spark, and Hadoop to enable informed business decision-making. - Utilized Spark and Hadoop for efficient big data processing, and Jupyter for data analysis, contributing to the creation of a robust data infrastructure. This effort facilitated the extraction of valuable insights from massive data sets, driving strategic initiatives and business growth.

Responsibilities & achievements

Analysis, specification of requirements and design for the development and implementation of a single data repository

Responsibilities & achievements

- Provided crucial support services for the publication of open data and capacity building for organizations engaged in open data initiatives. This included improving data management processes, data opening and publication, information services, and providing training and support to organization representatives. - Leveraged Pentaho and PostgreSQL technologies to streamline data management and ETL processes. This ensured efficient data flow and transformation, contributing to the successful implementation and operation of open data initiatives.

Responsibilities & achievements

- Led the comprehensive conversion of the SIIAS computer system, transitioning from Cognos + Oracle + Windows + Linux technologies to Pentaho CE + PostgreSQL + Linux technologies. This task required in-depth technical expertise and strong project management skills to ensure a seamless migration with minimal disruption to operations. - Leveraged free distribution software like Pentaho CE and PostgreSQL to replace proprietary systems, providing cost-effective and flexible solutions. This demonstrated the ability to optimize IT resources and maximize the value of technology investments.

Responsibilities & achievements

- Led the development of Pernod-Ricard's corporate Data Warehouse (DWH), demonstrating a strong understanding of data architecture and warehousing principles. This task involved designing a robust and scalable data infrastructure that supports the company's operational and analytical needs. - Handled the development and ongoing maintenance of the data upload process for the corporate DWH. Ensured the efficiency, reliability, and accuracy of data uploads, contributing to the overall quality and integrity of data within the warehouse.