About Driwech
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Experience
- VeoliaTechnical Lead | Data ArchitectENERGY AND UTILITIESJanuary 2025 - Today (1 year and 6 months)Ile-of-France, FranceImplementation of a centralized analytical foundation to standardize data access, harmonize user experience, and provide reusable business objects for reporting and analysis needs:
- Analysis of business needs and understanding of the functional context.
- Drafting of technical specifications and the technical architecture document.
- Design and implementation of the Medallion / One Big Table architecture.
- Definition of the strategy for creating and enriching business objects.
- Drafting of the data modeling repository, describing architectural principles, management rules, naming conventions, business definitions, and decision trees for the evolution of the analytical foundation.
- Definition of development standards and team best practices.
- Design, transformation, and industrialization of business objects with dbt on BigQuery.
- Migration of data and applications from on-premise or GCP to S3NS.
- Adaptation of processes to ensure compatibility with S3NS constraints.
- Integration of GDPR requirements in data design and processing.
- Implementation of the release validation process: definition of the test plan, validation of unit tests, scenario tests, and non-regression tests before each deployment.
- Preparation, coordination, and validation of production deployments.
Implementation of a reporting tool with Superset:- Configuration of Superset and the connection to BigQuery.
- Implementation of SSO and LDAP authentication.
- Management of roles, permissions, and synchronization of access with the internal application.
- Securing data access through dedicated views per team.
- Development of monitoring dashboards (data freshness, data quality, availability, and process tracking).
- VeoliaData Engineer | GCP Technical ReferentENERGY AND UTILITIESOctober 2021 - December 2024 (3 years and 2 months)Ile-of-France, France
- Implementation of the data lifecycle from sources (oracledb, salesforce, postgres) to BigQuery for exploitation.
- Data transformation and processing with Cloud Run and Dataflow.
- Creation of dashboards for business reports.
- Implementation of data quality control mechanisms.
- Monitoring of monthly financial costs for our GCP projects.
- Drafting and maintenance of the data dictionary.
- Searching for personal data with GCP DLP.
- Traceability and monitoring of sensitive data with policy tags.
- Technical support to business teams.
- Daily monitoring of production environments.
- QuantHouseData EngineerNovember 2020 - March 2022 (1 year and 4 months)
- Migration of the Big Data platform from on-premises to AWS.
- Provisioning of AWS infrastructure with Terraform.
- Development of serverless functions in Python with AWS Lambda.
- Development of data processing pipelines with Spark and Akka.
- Configuration and orchestration of automated processes with Apache Airflow.
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Education
- National diploma in computer engineeringENSI - National School of Computer Science Engineering Computer Science2019
- Bachelor's degreeIPEIT - Preparatory Institute for Engineering Studies of Tunis2016Bachelor's degree