Ines F.

Experience

• 

  Ericsson

  Jul 2014 - Aug 2014

  Summer Internship
• 

  Infor

  Feb 2016 - May 2016

  Graduate Intern

  Automating the production application monitoring and troubleshooting operations [Puppet, bash, Python, Zabbix,Centos].

• 

  Infor

  Jul 2016 - Jan 2018

  Led the automation of server configurations and incident management processes, significantly improving productionefficiency and reliability.Expertly identified and resolved deployment anomalies and execution errors in production models, enhancing systemperformance and stability.Streamlined monitoring and diagnostic tasks through automation, facilitating rapid problem detection and resolution.Optimized incident resolution procedures, reducing downtime and improving customer satisfaction.Played a pivotal role in translating user stories into actionable tasks and subtasks, ensuring project alignment withclient needs and expectations. Show less

  • Remote Software Support Engineer

    Aug 2017 - Jan 2018

  • Production and Application Support Engineer

    Jul 2016 - Jul 2017
• 

  Société Générale

  Apr 2018 - Oct 2018

  Big Data Internship
• 

  Société Générale

  Jan 2019 - Jan 2024

  Big Data Engineer - Project manager

  working with stakeholders to define requirements and delivery milestones.lead of the data engineering team.project planning, tracking and risk management.Organising and leading workshops to evaluate technical issues and to boost decision.Delivering objectives to strict budgets, deadlines and SLA.Studying present projects and identifying field of improvement and anticipating failovers.Industrialization of statistical and machine learning models.Design and development of a highly scalable, endtoend process to consume, clean and integrate a largeamount of data.Participation in the design of the application architecture and the technologies' choice.Tuning & optimization of non performant databases, queries and pipelines basically on spark cluster.Extraction, transformation and loading of data from different sources.Documentation of data source, data structures, data flows & data infrastructures.Data anonymization and pseudonymization.Model's performances: drift detection, slicing, fairness..Design and implementation of tools and algorithms-development of a scalable big data projects, improving data processing speed and supportingadvanced analytics & machine learning projects.Optimized data storage and retrieval in HDFS, reducing data access time.-Developing Spark jobs for data collection and cleaning from the Data Lake, incorporating essential data controls.-Enhancing and creating Spark jobs for feature generation as defined by data scientists during the POC phase.-Implementing a Spark job for archiving historical data in the Data Lake.-Developing a Spark module to manage personal data usage and comply with GDPR standards.-Optimizing storage and database query processes.-Led the successful integration of multi-source marketing data into a centralized big data ecosystem, enhancing datadriven decision-making processes.-Engineered robust ETL pipelines using Talend, facilitating efficient data extraction, transformation, and loading from Show less

• 

  Groupe BPCE

  Feb 2024 - now

  In charge of Data Governance