Freelancer profile translated to English.
Back to original languageAbout Nesrine
My name is Nesrine ELJAZI, a seasoned Big Data engineer, passionate about innovation and leveraging cutting-edge technologies to solve complex data challenges. Holding a Master's degree in Information Systems and Decision Support from the prestigious Blaise Pascal University (CLERMONT-II) and an Engineer's degree in Computer Software Engineering from INSAT, I have honed my skills in Business Intelligence, Database Administration, and Big Data.
My professional journey has been enriched by a significant mandate at Société Générale, where I played a pivotal role in advancing the Metrology Data Lake. Operating within an agile framework led by industry experts, I collaborated on initiatives grounded in SAFe and Scrum methodologies. This dynamic environment was committed to delivering a cloud-based solution, architected on industry best practices and state-of-the-art technologies.
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- GeneraliBig Data EngineerBANKING AND INSURANCEJanuary 2024 - Today (2 years and 5 months)Saint-Denis, FranceWithin the DATASMART PRODUCTION team, I was responsible for data quality and data availability. Below are my various contributions within the team:• Develop and deploy new data flows, meeting business and Data Science needs.• Optimize and ensure the operational maintenance (run) of data pipelines in production, including incident management.• Write the operational documentation for data flows.• Co-project Almerys V2: integration of the new version of the Alemrys file• Co-project PROVIZ CONSOLIDATION V2: production deployment of synthesis chains and the production chain for the proviz consolidation V2 project and bundle deployment• Co-project Incidentology: implementation of the Snowflake ingestion chain in UPSERT mode, as well as the synthesis chain• Co-project SIFTER: Deployment of Dataiku bundles in production• Co-project ULIS and FUE IARD: Configuration and ingestion of sensitive data.• Co-project AVT: Implementation of the AVT data ingestion chain.
- Société GénéraleBig Data EngineerBANKING AND INSURANCEDecember 2017 - May 2023 (5 years and 5 months)Paris, FranceWithin the Metrology team, responsible for the Data Lake of the Société Générale Private Cloud platform, I contributed to:• The design and implementation of Golden Data Sources ingestion chains (repositories, APIs, ticketing tools, etc.) using Apache Kafka, Apache NiFi, HDFS, and Elasticsearch.• Development of Spark jobs for data processing and analysis (compaction, compression, ingestion) using PySpark, Apache Oozie, HDFS, and Elasticsearch.• Design, development, and deployment of the Know Your Customer project: measurement of SLAs (KPIs) for Private Cloud platform API consumption from logs stored on HDFS.• Industrialization of Private Cloud infrastructure log and metric ingestion pipelines: definition of interface contract, enrichment of metadata, deployment of data collection agents.• Implementation of REST APIs for creating data ingestion and retrieval pipelines: using Python, GitHub, Jenkins, Pytest, Ansible, CI/CD• Migration of legacy Hadoop/HDFS clusters.• Deployment and administration of the Data Lake's backend components (Elasticsearch, Kibana, Apache Druid, Apache Zookeeper).• Implementation of access policies to the Data Lake's various backends (authentication and authorization): SSL, Ranger, Kerberos, LDAP, IAM, Document Level Security.• Development of DataViz, supervision, and monitoring dashboards: using Grafana, Kibana, Elasticsearch.• Installation and configuration of security plugins for Elasticsearch (Open Distro Security, OpenSearch Security).• Automation of deployment, version updates, and cluster expansion using Infrastructure as Code: Terraform, Ansible, Vault, Jenkins.• Writing user and operational documentation.
- Amadeus IT GroupData DeveloperApril 2017 - September 2017 (5 months)Nice, France• Designed and implemented a Data Concealment Solution on Amadeus Big Data cluster.• The solution is designed within different approaches: batch, stream and real time processing.
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Education
- Master's degree, Information and Decision Support SystemsUniversité Blaise Pascal (Clermont-II)2017Master's degree, Information and Decision Support Systems
- Engineer's degree, Computer Software EngineeringNational Institute of Applied Science and Technology2014Engineer's degree, Computer Software Engineering
Certifications
- Snowflake Corepearson