Wassim Guesmi

- Designed and implemented a cloud-native data platform on AWS to centralize and process data from millions of users across web, mobile, and subscription services. - Developed parameterized, reusable data models to support audience segmentation, churn analysis, and engagement KPIs. - Built and orchestrated scalable ingestion and processing pipelines for clickstream data, CRM, and paywall events using AWS Glue, Lambda, and Step Functions. - Automated infrastructure provisioning with Terraform (multi-environment, modular IaC). - Set up GitLab CI/CD pipelines for automated deployment of infrastructure and data workflows. - Optimized data lake with Parquet format and partitioning to support cost-efficient analytics via Athena and RDSt. - Implemented data quality checks, anomaly detection, and monitoring for critical user metrics (DAU, session duration, conversion rates). - Worked closely with data analysts and marketing teams to enable real-time dashboards, personalized content strategies, and retention models. - Promoted DataOps culture, ensuring traceability, reproducibility, and scalability of all data processes.

- Developing and maintaining scalable data pipelines and ETL processes with IICS to ingest, process, and store structured and unstructured data from diverse sources. - Analyzing and resolving production incidents and ensuring the RUN and Build Mode - Implementing data quality checks and monitoring systems to ensure the reliability and accuracy of data infrastructure. - Collaborating with cross-functional teams to optimize data models and database designs for performance and usability. - Utilizing cloud-based technologies such as AWS services to build and manage data infrastructure, leveraging services like Redshift, Amazon EMR, S3 , DynamoDB - Automating manual processes using scripting languages and orchestration tools like Python, Powershell, or AWS Lambda. - Contributing to the development and implementation of CI/CD pipelines tailored for Schneider Electric's data applications and analytics platforms - Applying best practices in data governance, security, and compliance to maintain a robust and reliable data environment. - Leveraging cloud-based technologies and big data platforms to build and manage Schneider Electric's data infrastructure, integrating services

- Creating transformation and control rules using Alteryx, including mapping, construction rules, constant rules, and ISO source rules. - Providing support and monitoring for Proof of Concept (POC) initiatives within the Digital Lab & Data Platform, while planning Alteryx workflows for onboarding data in SAP 4/HANA and Salesforce. - Developing Python scripts for text extraction and data quality assurance, alongside building ML models using Azure Databricks. - Conducting data visualization using Power BI and Tableau software, and curated assets within Tableau, Alteryx, and Power BI. - Designing architectures and roadmaps for Business Intelligence (BI) & Analytics, and deployed machine learning models - Designing and implementing scalable and cost-effective data pipelines using Azure Data Factory to ingest, process, and transform large volumes of data for analytical and operational purposes. - Leveraging Azure Databricks to develop and deploy advanced analytics and machine learning solutions, optimizing data processing and model training at scale.

Implementation of a BI solution for sales management of ALSICO stores & Implementation of a data exchange protocol between SAP-ORLI (Talend, QlikSense, Sqlserver, Python) - Identification of data transfer flows between the different ERPs - Support for all data governance issues thanks to MDM (Master Data Management) functionalities that deal with data quality and completeness. - Mapping, aggregation, and formatting of the data to be transferred (field correspondence, transfer formats) - Management of transcoding and implementation of transformation rules (compatibility study). - Management of rejections and data quality control. - Design and Modeling of the Data warehouse - Reporting (KPI: Commercial margin, Turnover, Growth rate, Profitability ratio) - Predictive analysis of market trends

- Led the implementation of an information system with a reporting module for managing construction projects at Doha Extraco. - Designing and developing a customized construction management module to meet specific project requirements. - Gathering and documenting customer needs, and created project cost estimates and work breakdown structures. - Migrating ETL flows to Talend Enterprise Data Integration - Establishing a decision-making environment by creating Data Warehouses and Data Marts, enabling comprehensive reporting on project progress, inventory management, and performance comparisons. - Managing and maintaining Webi reports on the BI4.1 platform, while developing Talend jobs for data transformations and administering the Talend platform. - Preparing technical documentation and production deliverables, including summaries of actions and Data Warehouse (DWH) fields. - Analyzing and resolving production incidents, and conducting ELK monitoring for system performance and stability.

Development and design of an application for the quantification of FTTH access networks. tools used: (Arcgis, PowerBI, SSIS) The project consists of setting up an interface that is responsible for extracting the supplies used for the dimensioning of the FTTH access networks from ArcGIS in order to automatically generate bills of quantities and estimates and Dashboards that help entrepreneurs and engineers to evaluate the project in terms of cost and quality.

-Visite et supervision des sites radio HF -Installation des antennes et maintenance des équipements -Identification des anomalies au niveau du réseau

- Rédaction des rapports d'identification des types et des localisations des pannes quotidiennes et leur degrés . - Test Drive , Fibre Optique,