Yassine MKHININI

Led the creation of a Data Platform unifying SAP/BW4, GA4, SME and corporate data. Authored Terraform scripts to deploy infrastructure on AWS and Snowflake, created S3 data stores, and deployed Cloud Run services for serverless processing and data APIs. Optimized ECS/Cloud Run workloads, ingested GA4 data into S3, managed IAM roles, and developed Python automation for ETL tasks. Configured Airflow pipelines and DBT to orchestrate ETL workflows, integrated Snowflake as the data warehouse, implemented CI/CD with GitLab, and produced KPI dashboards. Collaborated with DevOps for deployment and infrastructure maintenance; set up monitoring and alerts for data pipelines.

In the Data Factory, ingested data from SAP BO, radio reference data, Lynx, and REST APIs; built large-scale data pipelines using Azure Data Factory, Spark/Scala on Databricks; automated data ingestion with Python; processed 5G-related data; optimized Spark jobs; established CI/CD with GitLab; maintained codebase and documentation; loaded data into Snowflake and created Power BI reports to monitor KPIs.

Contributed to the dematerialization of invoices project by building and maintaining ETL pipelines, ingesting data from API Rest, Oracle SQL, FTP, and other sources; implemented data quality controls, scheduled ETL processes with Jenkins, and supported supplier self-service initiatives via electronic invoicing platforms; collaborated with multiple stakeholders to ensure data accuracy and integration with ERP systems; reported KPIs via Power BI.