Freelancer profile translated to English.
Back to original languageAbout Lamiaa
Freelance Data Engineer with nearly 7 years of experience, specializing in the design, industrialization, and optimization of cloud data pipelines.
I primarily work with Python, PySpark, SQL, Azure, Databricks, Synapse, and Delta Lake, with extensive experience in batch processing, data quality, pipeline refactoring, and model industrialization.
I bring a pragmatic approach focused on performance, maintainability, and business impact.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 10km)
Experience
- Engiedata engineer mlopsMay 2025 - Today (1 year and 1 month)Development and industrialization of data pipelines on Databricks for energy forecasting use cases.Processing and transformation of large data volumes with PySpark / Spark SQL in a Lakehouse architecture.Contribution to the industrialization of forecasting models with MLflow and MLOps practices.Implementation of robust processes: data validation, monitoring, error management, and run historization.Continuous improvement of code quality: refactoring, testing, logging, job structuring, and performance optimization.Contribution to deployments and automation via CI/CD, Terraform, and Git.
- SEVETYS,Data EngineerApril 2024 - May 2025 (1 year and 1 month)Paris, FranceDesign and orchestration of data pipelines on Azure Data Factory to automate and ensure the reliability of business flows.Transformation and integration of large data volumes with Azure Synapse Analytics, Spark, and SQL.Implementation of a collection architecture via API based on Azure Queue Storage, Azure Container Apps, and Docker.Development of web services with FastAPI to expose data to business applications and users.Contribution to DevOps practices: Azure DevOps, source code management, CI/CD, and deployment automation.Execution of a Microsoft Fabric POC with comparison of the target architecture and adoption recommendations.
- OMSA (Kapela),Data EngineerJanuary 2021 - March 2024 (3 years and 2 months)Paris, France• Extraction, transformation, and loading of data from source systems to Azure data storage services using Azure Data Factory. Data ingestion to one or more Azure services such as Azure Data Lake, Azure SQL, and Azure Databricks, then data processing in Azure Databricks.• Creation of pipelines in ADF using Linked Services/Datasets/Pipelines to extract, transform, and load data from various sources such as Azure SQL and Blob storage.• Development of Spark applications in Databricks with Pyspark and Spark SQL for data transformation and aggregation from multiple file formats, for the purpose of analyzing and transforming them to uncover insights into customer usage patterns.• Estimation of cluster size, monitoring, and troubleshooting of the Spark pool cluster.• Reporting and data visualization with Power BI. Technical environment: PySpark, SQL, Azure Databricks, Azure data factory, Python, ADLS, Azure Devops, Unity Catalog, Qlik sense
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Education
- Master's degree, data science and big datahigher national school of computer sciences and system analysis - ENSIAS2018Master's degree, data science and big data
- Bachelor of Science in MathematicsFaculty of Sciences and Techniques (FSTM)2016Bachelor's degree, Mathematics and informatics
Certifications
- azure data engineer dp 203microsoft2023
- azure data scientistmicrosoft2022