Mohamed Ali Bardi

- Technical referent for global key accounts (FR/US/APAC/UK/CH) in various sectors as automotive, luxe, retail, fmcg ...

- Managing a team of 4 data engineers

- Leading the implementation journey, providing technical guidance, developing best practices, managing timelines, milestones and project goals

- FR client Renault: Building a global digital performance measurement infrastructure at scale (70 markets on 35 different countries more than 10 data sources: GMP solutions DV360/SA360/CM360/GA360, Social marketing platforms, CRM, Offline media, Offline conversions, other programmatic advertising platforms). build and run the data retrieval and processing framework along with all the devops deployment routines (Python, BigQuery, GC Storage, Pub/Sub, Cloud Function, Compute Engine, Cloud Scheduler, Looker studio, Docker, Jupyter Notebooks, Cloud Monitoring, Sendgrid, Gitlab CI, Terraform, funnel.io)

- FR client Leroy Merlin : Working with the data science team on the deployment of the Marketing Mix Modeling (MMM) solution (Vertex AI, Bigquery)

- FR client LVMH: Building Media taxonomy checker (Cloud Run, Cloud Function, Google Cloud Storage, Bigquery, Python, Looker studio, Terraform, Github Actions Workflow)

- FR client LVMH: Implenting DV360 API connector in order to upload custom audience (Python, DV360, Bigquery)

- FR client Back-Market : Implementing and automating data processing pipelines for onsite and app analytics data (16 countries) for C-level reporting (Python, Bigquery, Cloud Function, Logs sinks, Cloud Strorage, Pub/Sub)

- US/APAC client Shiseido: Deploying Google Tag Manager server side tracking on GCP (Docker, Cloud Run, Terraform, Gitlab CI, Cloud monitoring)

- internal and CH client Nespresso: Audit of GCP project billings and creation dashboards creation for analysis and cost optimization purposes (Looker studio, Google Cloud services)

- FR client Ferrero: Building and maintaining CRM database for activation purposes (Bigquery, GC storage, python, Jupyter Notebook, GPG encryption, SFTP, Azure key vault)

- CH clients L'occitane/Nespresso: Setting up a products recommendation architecture on GCP (Google Recommendation AI, Cloud function, BigQuery, Redis memorystore, Google merchant center)

- US client Kimberly-Clark: Reporting migration from SAP Hana to GCP (Google data transfer, Cloud Function, GCS, BigQuery, Google Data Fusion, SQL, Terraform)

- US client Kimberly-Clark: Building generic Media taxonomy validator (Google Data Fusion, GCS, Bigquery, SQL, Python, Terraform, Azure Devops, Fivetran)

- Building datalakes and automating data pipelines to optimize data transformation processes and enable faster business analysis and reporting for internal and customer use cases on Google Cloud Platform (Python, BigQuery, GC Storage, Pub/Sub, Cloud Function, Compute Engine, dbt,Google Data studio, Docker, Jupyter Notebooks, Cloud Monitoring, Sendgrid, Tableau Software...)

- Design, build, improve and maintain APIs connectors for data acquisition (Google Analytics, Google ads, DV360, SA360, CM360, Facebook ads, Salesforce, Adobe, AT internet....)

- CH client Breitling: Deploying a trend anticipation machine learning model (Cloud Function, scikit-learn)

- APAC clients Asus/Cigna : Importing user scores data to google analytics in order to enhance user segmentation and remarketing audiences Python, Google analytics API, Cloud Function, Sendgrid)

- Automating the process of provisioning, configuring, deploying and tearing down cloud infrastructure and services (Terraform, Ansible)

- Building REST-based microservices (Java, MongoDB, Gradle, Swagger)

- Setting up CI/CD to automate deployments and delivery processes (Gitlab CI, Jenkins)

- Deploying, maintaining and monitoring Tableau Server (on Google Cloud Platform, on Microsoft Azure with Active Directory integration)