Freelancer profile translated to English.
Back to original languageAbout Haitam
Data Tech Lead with significant expertise in designing and implementing AI/ML project architectures (Batch, Streaming, Lambda), working on Big Data pipelines: data retrieval through processing pipelines to feed training phases. I have worked on Natural Language Processing (NLP) and Computer Vision projects, deploying various deep learning models using Flask, Azure Functions, and Docker, as well as monitoring different deployed services using various monitoring techniques (Azure Monitor, ELK).
Solid experience in Cloud Engineering: designing and implementing data pipelines on Azure Data Factory, from data extraction to processing, to solution deployment and service monitoring.
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- SodexoTech Lead Data and AINovember 2024 - November 2025 (1 year)Migrated PySpark pipelines to dbt, ensuring performance, maintainability, and adherence to modern data modeling standards.Designed and implemented dbt pipelines applying best practices and conventions across staging, intermediate, and warehouse layers.Developed Bash CI/CD automation scripts to simplify testing, deployment, and delivery phases for dbt models and Databricks Python jobs.Maintained and optimized Azure cloud resources, including Storage Accounts, Azure Data Factory, Databricks, and Azure Machine Learning Services (AMLS).Improved Databricks job performance through query optimization, Delta Lake optimization, partitioning strategies, and lifecycle management (OPTIMIZE, VACUUM).Performed FinOps activities, monitoring infrastructure usage and costs while implementing optimizations to enhance financial efficiency.Supervised the ingestion and integration of new data sources such as Dremio, GrubHub, and Soeze, using PySpark JDBC connectors, CosmosDB APIs, and Databricks SQL Warehouse.
- Invivo Digital factoryLead Data EngineerJanuary 2024 - June 2024 (5 months)• Implemented Databricks Medallion Architecture (Bronze, Silver, Gold)• Collected data from plant/malting sensors• Data Curation and cleaning• Created Databricks workflows for populating target tables• Ensured implementation of cybersecurity measures to protect sensitive data• Mentored junior data engineer teams• Implemented Databricks workflows for data quality monitoring• Followed best practices in PySpark• Optimized SQL and PySpark queries• Used Git for version control• Implemented CI/CD to automate tests and deploymentsTechnical Environment: Azure Data Factory, Azure Databricks, Pyspark, PostgreSQL, Azure Devops
- Groupe RéussirLead Data Engineer | ArchitectJanuary 2023 - December 2023 (11 months)• Implemented Cloud Data Architecture (Azure Data services)• Set up Azure Data Factory pipelines for data ingestion from various sources (API, on-prem DB, mail routers…)• Mentored teams and reviewed code• Managed Production Deployments (Azure Devops)• Stored Procedures for data transformation and Data Warehouse population• Facilitated design workshops to improve code scalability and performance• Ensured implementation of cybersecurity measures to protect sensitive data• Implemented Databricks workflows for data quality monitoring• Developed unit and integration tests to ensure code functionalityTechnical Environment: Azure Data Factory, Azure Databricks, Pyspark, SQL, Azure Devops
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Education
- Master, Big Data & Cloud ComputingUniversité Hassan II Aïn Chock de Casablanca2018Master, Big Data & Cloud Computing
- Bachelor of Business IntelligenceUniversité Hassan II Aïn Chock de Casablanca2016Bachelor's degree , Business intelligence
Certifications
- Databricks Certified Data Engineer AssociateDatabricks Academy2026
- Dbt FundamentalsDbt Labs2024