About Nader
French
Native or bilingual
English
Fluent
Experience
- Société GénéraleTech Lead Data / Senior Data EngineerBANKING AND INSURANCEApril 2024 - April 2026 (2 years)La Défense, FranceProject 1: UC MigrationMigrate Jupyter/Dataiku notebooks to Snowpark notebooks.• Migrate Lucid/Teradata data via DBT• Create well-structured SQL models in layers (staging, intermediate, mart)• Execute pipelines (dbt run)• Load files from S3 buckets via AWS Lambda to automate Snowpipe loading upon file arrival on S3• Transform and repair data before loading into Snowflake via AWS Glue• Migrate data from Lucid/HDFS and Teradata to Snowflake• Build and compile Snowpark notebooks• Functional acceptance testing with business users and entities responsible for each UCProject 2: SakarahConvert specific modules developed in Talend to Scala Spark modules and Databricks notebooks to improve processing performance.• Set up and configure the application architecture for the various modules• Support and manage two teams based in India and France to track tasks and meet delivery deadlines• Develop business logic according to business rules and specificities• Ingest some raw data via Databricks pipelines• Implement CI/CD pipelines via Jenkins/Ansible and AWX• Schedule tasks via ControlM• Go liveTechnical Environment:Snowflake, Snowpark, Scala, Spark 2.3, Python, PySpark, Databricks, GitLab, Maven, DBT, HDFS, Jenkins CI/CD, Ansible
- Groupe La PosteSenior Data EngineerJanuary 2022 - March 2024 (2 years and 2 months)92130 Issy-les-Moulineaux, FranceProject: Finance - Generates business objects containing all information related to supplier invoices and credit notes for La Poste to determine payment terms.• Set up and configure the raw data ingestion system at the vault level (loading via REST calls, sending files via FTP, etc.)• Set up the Medallion architecture• Develop the 'supplier payment terms' process based on business rules• Schedule tasks via Airflow• Develop a cash flow forecasting module powered by an AI model• Go live• Maintenance and evolutionTechnical Environment: IntelliJ IDEA, HDFS, Scala, Spark 2.3, REST API, Python, Databricks, GitLab, Jenkins Ansible Confluence, Airflow, Zeppelin, Dataiku
- ClarinsData EngineerNovember 2020 - December 2021 (1 year and 1 month)Paris, FranceProject 1: SEO (Search Engine Optimization) - Calculates and generates classification statistics based on Google services such as Google Search Console and Google Analytics.• Retrieve data from Google sources: Google data extracted via API calls in Databricks notebooks• Calculate metrics: information calculated based on keywords entered by Clarins clientsProject 2: SFFC Customer Module - Transmits Saleforce Customer data from a WebDAV server to the Azure ADLS Gen2 storage system.• Centralize customer information in Azure for use by other applications• Throughout the process, an anonymization and cleaning treatment is applied for customer data protection
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