Cheikh Abdourahmane WADE

Data Engineer Consulting

• Cloud Architecture on Google Cloud Platform (GCP) with expertise in Vertex AI, Cloud Storage, BigQuery, Cloud Run, App Engine, Dataflow, Cloud Functions, among others, for the development and optimization of data pipelines. • Strong experience in Python, with a focus on data processing and analysis, including geospatial programming with GeoPandas, and the development of spatial data layer alignment algorithms. • Deployment of a Terraform-based infrastructure for automated cloud resource management. • Implementation of CI/CD workflows on GitLab, ensuring reliable and reproducible deliveries. • Strong software quality culture with unit testing (pytest), integration testing, and pairwise testing to guarantee functional compliance and minimize gaps with business requirements. • Agile Scrum working methodology.

• Deployment of an automated Log Centralization solution using the ELK Stack and its Metricbeat and Filebeat services. • Industrialization of a machine learning model on Google Cloud Platform (academic project). • Development of a music lyrics transcription application using NLP (academic project). • Development of a resource tracking and history application for Azure, using the Azure Python SDK. Creation of an API with multiple endpoints for writing and retrieving data. • Industrialization and automation of an artificial intelligence model on Google Cloud Platform, leveraging CI/CD processes. [Python, GCP, Flask, Docker, Cloud Run, Container Registry]

• Worked as a Database Administrator, contributing to the development of a database anonymization platform to ensure GDPR compliance, using PowerShell and SQL Server. • Participated in the implementation of log collection and monitoring, leveraging the ELK Stack (Elasticsearch, Logstash, Kibana) for on-premise environments, and Azure Log Analytics for cloud resources.