Anis Laidani

At Axereal, Anis Laidani deployed his expertise by orchestrating the automated creation of Google Cloud Platform resources via Terraform, enabling a scalable and easily reproducible infrastructure. He designed and developed complex ELT/ETL pipelines, orchestrated by Cloud Composer, to manage real-time data flows using technologies such as Pub/Sub, Eventarc, and CloudRun. Additionally, he implemented pipelines based on the Starlake framework for extracting and loading data into BigQuery, while automating deployment through a CI/CD pipeline with Azure Pipelines, ensuring continuous integration of applications on GCP. His work also included setting up a high-performance monitoring system for daily data ingestion and continuous optimization of the data lake.

At BPCE, Anis Laidani played a crucial role in migrating data from MariaDB to BigQuery, developing ETL/ELT processes to automate data ingestion and transformation. His expertise streamlined this process while ensuring rigorous management of incidents on the Data Lake, guaranteeing optimal service availability and reliability. He also implemented a monitoring and alerting system to track daily data ingestion and GCP resource usage, thereby strengthening the resilience and efficiency of BPCE's data infrastructure.

At Bpifrance, Anis Laidani demonstrated his expertise by modeling databases on Amazon Athena, thereby optimizing the structure and access to financial data. He integrated this data through Glue jobs, ensuring efficient extraction and processing within the AWS ecosystem. Leveraging his skills in Python and Spark, he orchestrated complex processes, guaranteeing optimal performance of data pipelines and thus contributing to the digital transformation of Bpifrance's financial operations.