Freelancer profile translated to English.
Back to original languageAbout Ranya
Experienced Data Engineer, I master various technologies such as Databricks, Hortonworks, Ansible, Jenkins, Terraform, and PySpark. My role is to design effective solutions for data integration and analysis, enabling companies to make informed decisions.
French
Native or bilingual
English
Fluent
Can work on-site
Cormeilles-en-Parisis (up to 20km)
Experience
- Engie - DSI France RetailData EngineerENERGY AND UTILITIESJanuary 2024 - Today (2 years and 5 months)
- Migration of the Data platform from Cloudera to Databricks
- Monitoring and administration of a centralized data platform on Databricks
- Data automation and integration
- Optimization of existing processes
- Evolution of the data model
- Platform monitoring and tracking
- Deployment of a chatbot on Databricks
- IdexDevOps/Data EngineerENERGY AND UTILITIESSeptember 2022 - September 2023 (1 year and 1 month)
- Monitoring and maintenance of a data platform hosted on Azure, ensuring high availability and data security.
- Data ingestion orchestration: managing complex pipelines with Azure Data Factory to automate data ingestion from various sources (databases, files, APIs, etc.) to the Data Platform.
- Data publication and availability: Development of additional pipelines in Azure Data Factory to make data available in various formats and sources, respecting the requirements of different stakeholders.
- Production deployment via CI/CD: Use of a CI/CD chain based on Azure DevOps to automate the deployment of new use cases into production, thus ensuring the speed and reliability of updates.
- Study and migration to Azure Synapse: Conducting a feasibility study to migrate data processing pipelines from Azure Data Factory to Azure Synapse, including analysis of costs, performance, and technical implications.
- Synapse deployment automation: Design and implementation of CI/CD processes with Azure DevOps to automate the deployment of a Synapse workspace in multiple environments (dev, test, prod).
- Société GénéraleDevOps | Big Data EngineerDecember 2019 - August 2022 (2 years and 8 months)Technical Environment: Spark, HDFS, Oozie, Jupyterhub, Rstudio, Dataiku, Shiny, MLflow, dataiku, docker, kubernetes, dataiku, Git, jenkins, Nexus
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