Jonathan KI

Technical lead of a 9-person team responsible for maintaining and evolving a data pipeline on AWS • Proactively monitoring and exploring new technical solutions to optimize the pipeline’s performance, reliability, and scalability (e.g., migration to Apache Iceberg) • Implementation of unit and integration tests to reduce regression issues and improve maintainability • Support for audits: analysis of recommendations, prioritization of corrective actions, and implementation of identified improvements • Providing technical support to the team and assisting with the implementation of best practices for development and monitoring

Delivering official AWS Training courses (from fundamentals to advanced), in English and French, on behalf of AWS and multiple Amazon Training Partners

Worked with various teams (software developers, platform engineers, data architects) to design, build and deploy architectural solutions of a particular business project. • Studied the current architecture of the project and suggested solutions to enhance security and robustness according to project goals Technologies: AWS environment, Amazon QuickSight, AWS Serverless services (S3, Lambda, Step functions, EventBridge, etc.) • Established architecture diagrams for the suggested solutions and deployed them • Took in charge the study and the implementation of new needs (migrating observability solution according to the platform team requirement, running load tests to determine solutions limits, implementing asynchronism into the solution) • Exploited data from the data platform in order to build business dashboards in QuickSight Technologies: AWS environment, Amazon QuickSight, AWS Serverless services (S3, Lambda, Step functions, EventBridge, etc.)

• Delivered "Cloud Architecting on AWS" to 5th year (Master degree) engineering students. • Helped them prepare for the certification "AWS Certified Solutions Architect - Associate"

Technical lead of a 12-member team Built a datalake / lakehouse on AWS • Technical choices and architure design • Migration from datalake to lakehouse architecture • Guiding team members in technical matters and in implementing best development and monitoring practices Technologies : AWS Serverless services (S3, Lambda, Step functions, Fargate, etc.), AWS Data Analytics Services (RedShift, Glue, Athena, RDS, Sagemaker, etc.), Spark, Terraform, Jenkins, Dataiku, JupyterHub

Built a datalake on AWS • Technical choices and architecture design • Infrastructure as code / Spark and Python development • Workflows orchestration through Airflow • Onboarding new projects in the data lake / Data hub evangelist

Delivered "Automating Data Infrastructure on AWS" course to 5th year (Master degree) engineering students

– Ops technical contact within project teams – Implementation of DevOps methods in project execution – Orchestration of Big Data processing on Hadoop Cloudera (On-Premise) – Deployment on production environments of AWS Cloud applications – Design and implementation of file transfer flows via XFB/Gateway

– SysOps engineer consultant – Member of a project team responsible for overhauling the electronic payment information system of Credit Agricole CA-CP – Connecting to other payment system like VISA and Mastercard – Electronic payment risk management

– Drawing up and implementing confidentiality and authentication policies – Mail and SFTP servers administration

– Auditing company network for eventually security breaches and other security issues – Drawing solution to found issues in order to strengthen network security – Following ITIL principles