Ibrahim Nassar

Business context : Providing BI tools to the finance teams. Missions : - Developing new features for a data ingestion application. - Deployment of a GenAi application in aim to help finance team to explore data on GCP - Designing and building an end-to-end event-based ELT pipelines : from data ingestion to dashboard refresh. - Mainting Kubernetes infrastructure on GKE Clusters. - Monitoring all process through Google Cloud's operations suite, Prometheus Metrics & Grafana . - Implementing CI/CD pipelines on Gitlab CI and Cloud Build Technical environment : - Cloud Provider : Google Cloud Platform -Infrastructure-as-Code : Terraform - Scripting : Python - Orchestration & Package manager : Kubernetes | ArgoWorkflow | Kustomize - Monitoring : Google Cloud's operations suite | Prometheus Metrics | Grafana - CI/CD : Gitlab CI | Cloud Build - Analytics : BigQuery | DBT | PowerBi - Storage : Google Cloud Storage

Data governance : - Implementation of several Spark ETLs for the creation of indicators on key data quality. - Creation of various data controls via PySpark. - Automation of ETLs via Airflow. - Creation of dashboards for data monitoring in Tableau. Data Glossary: - Updating of the data model via Python scripts and ingestion of data into the Hadoop data lake. - Integration of a Data Glossary tool (Zeenea). Product catalog: - Creation of a PostgreSQL data structure. - Implementation of a Flask API to access the catalog. - Worked with the business units to create a web application using Streamlit.