Wissem H.

Project:

• Participation in strategic migrations of the analytical ecosystem (Microsoft Fabric, business ERPs, Azure).
• Industrialization of data pipelines and optimization of data ingestion from multiple sources.
• Design of advanced analytical solutions to meet critical business needs.
• Collaboration with business teams to structure and prioritize Data & BI topics.

Tasks:

• Development of data pipelines and ingestion mechanisms via Azure Function Apps.
• Design of advanced BI solutions in Power BI integrating multiple sources (APIs, business databases, cloud services).
• Participation in Data platform migration and modernization projects (Microsoft Fabric, Azure).
• Diagnosis and resolution of complex technical issues on the BI platform.
• Structuring and prioritizing the Data backlog in collaboration with business teams.
• Technical support and guidance for Data Analysts on BI and data best practices.

• Azure Cloud (ADF, Key Vault, Azure SQL, Logic Apps), GCP (BigQuery, Google Analytics GA4), Power BI (Desktop & Service), Microsoft Fabric, Python, PyCharm, Visual Studio Code, SQL Server, Oracle, Power Apps, DAX Studio, GitHub Copilot

Project:

• Development of BI tools to meet the data analytics needs of the Data portfolio.
• Collaboration with Transformation and Data Engineering teams to structure and prioritize Data projects.
• Contribution to the evolution of data governance within the company.

Tasks:

• Analysis of business needs and participation in functional and technical scoping phases.
• Participation in Agile / Scrum ceremonies (Weekly, Sprint Review, Retrospective).
• Development of BI solutions in Power BI integrating multiple data sources (Azure, GCP, Oracle, SharePoint, SQL Server, APIs).
• Maintenance and evolution of existing BI solutions based on user feedback.
• Optimization of self-BI reports developed by business teams.
• Development of data processing and analysis tools in Python.
• Automation of business processes using Azure Data Factory, Power Apps, and Logic Apps.
• Extraction and analysis of data from company Data Warehouses.
• Collaboration with international Data Intelligence teams to improve BI practices and data quality.
• Contribution to the implementation of a Data Governance initiative within the organization.

Technical Environment:

• Azure Cloud (ADF, Key Vault, Azure SQL, Logic Apps), GCP (BigQuery, Google Analytics GA4), Power BI (Desktop & Service), Microsoft Fabric, Python, PyCharm, Visual Studio Code, SQL Server, Oracle, Power Apps, DAX Studio, GitHub Copilot

Project:

• Supervision of the migration of daily data flows from the old platform to the new Big Data platform (Azure).
• Support for Data Analysts from various business teams in resolving ingestion and reporting issues.

Tasks:

• Analysis of business needs and understanding of data-related issues in the insurance sector.
• Participation in Agile / Scrum ceremonies and writing of functional and technical specifications.
• Migration of Datamarts, Dataflows, and Power BI Datasets to the new Big Data platform.
• Management and supervision of data flows orchestrated via Azure Data Factory.
• Testing and correction of anomalies in Data Models and Power BI reports after migration.
• Creation and maintenance of analytical views from Snowflake data warehouses.
• Analysis of logs and querying of tables via Impala (Cloudera) to ensure proper functioning of pipelines.
• Participation in RUN activities and anomaly monitoring via Jira.

Technical Environment:

• Power BI, Microsoft Azure, Azure Data Factory, Cloudera, Hadoop, Impala, Python, Shell, Linux, Jira, Visual Studio Code, MobaXterm, DBeaver, Automic UniViewer, Sqoop, Splunk, Git.