Freelancer profile translated to English.
Back to original languageAbout Yaya
Data Engineer specialized in Google Cloud Platform (GCP) environment with over 8 years of experience.
Dual Google Cloud certification: GCP Professional Data Engineer and GCP Professional Cloud Architect. I support companies in their digital transformation by building modern data platforms, data warehouses, and robust, scalable, and innovative big data processing systems.
My areas of expertise:
- GCP Cloud Architecture (BigQuery, Cloud Dataflow, Pub/Sub, Cloud Storage, Cloud Functions, Cloud Composer)
- Data Engineering with Python (pandas, Apache Beam)
- Data pipeline orchestration with Apache Airflow and Cloud Composer
- Data Warehousing, SQL, and BigQuery query optimization
- DataOps (GitLab CI/CD, Docker, Kubernetes, Terraform, Infrastructure as Code)
My DataOps approach combines technical excellence, data governance, and agile methodologies to deliver reliable, secure, and maintainable data solutions.
Passionate about technological innovation, I also cultivate personal balance through meditation and travel.
French
Native or bilingual
English
Conversational
Can work on-site
Paris (up to 50km)
Experience
- ACCENTURE FRANCEData Engineer GCPRETAIL (SMALL BUSINESS)March 2022 - Today (4 years and 3 months)Paris, FranceData Engineer GCP | CASINO GROUPReal-time data solution for 5000+ points of sale | 27M records/dayKey achievements:- Optimization of batch pipeline performance: 60% reduction in execution times- Technical stack: Google Cloud Dataproc, multithreaded Python, BigQuery- Daily processing of 27M records- Architecture and development of data pipelines- Batch: Design and maintenance of 4 Airflow DAGs (50+ tasks) on Google Cloud Composer- Streaming: Implementation of real-time flows with Google Cloud Dataflow- Storage: BigQuery, Cloud Firestore, Cloud SQL- Infrastructure & DataOps- Implementation of CI/CD pipeline with GitLab- Infrastructure as Code with Terraform- Containerization with Docker- Automated testing and monitoringEnvironment:- Agile squad of 15 people (3 teams: data, frontend, backend)- Data team of 4 engineers- Close collaboration with 3 business experts- Technologies: GCP, Python, Airflow, BigQuery, Dataflow, Dataproc, GitLab CI/CD, Docker, Terraform
- CGIData Engineer Python GCPOctober 2020 - December 2021 (1 year and 2 months)Paris, FranceData Engineer GCP | Build & Run Data PlatformGCP Cloud Architecture & Migration | Digital transformation projectKey achievements:- Architecture & Design- Design of the cloud-native technical architecture- Definition of data ingestion and processing patterns- Development of the migration strategy to GCP- Cloud Infrastructure Implementation- Infrastructure deployment as Code with Terraform- Configuration of GCP managed services:∙ Compute Engine for compute-intensive workloads∙ Cloud Functions for event-driven processing∙ Pub/Sub for event-driven architecture∙ BigQuery for data warehousing∙ Cloud Build for CI/CD automation- Data Pipeline Engineering- Building data ingestion pipelines- Implementing data transformations (ETL/ELT)- Setting up data quality processes- Developing connectors for data visualizationTechnologies:- Cloud: Google Cloud Platform (GCP)- Infrastructure: Terraform, Compute Engine, Cloud Functions- Data: BigQuery, Pub/Sub, Python- CI/CD: Cloud Build
- CGIData EngineerAugust 2019 - September 2020 (1 year and 1 month)Paris, FranceData Engineer | Post-COVID Staffing ApplicationData-driven HR management solution | Consultant placement optimizationKey achievements:- Architecture & Infrastructure- Design and deployment of the technical infrastructure- Implementation of the ELK stack (Elasticsearch, Logstash, Kibana)- Monitoring configuration with Grafana- Data Engineering- Implementation of the indexing system with Elasticsearch- Optimization of queries and search performance- Structuring and modeling of HR data- Data Visualization- Creation of Kibana dashboards for staffing monitoring- Development of custom visualizations for HR KPIs- Configuration of alerts and automated reporting- Monitoring & Performance- Real-time monitoring implementation with Grafana- Configuration of performance metrics- Creation of operational supervision dashboardsTechnologies:- ELK Stack: Elasticsearch, Kibana- Monitoring: Grafana- Data types: HR data, staffing data
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Education
- Master 2 (M2), Computer ScienceIonis-STM, dual-skill school2019Master 2 (M2), Informatique
- Master in Computer Science, IT Project ManagementENSET of Douala2017Master en informatique, Gestion des projets informatique
Certifications
- Professional Data Engineer CertificationGoogle2020
- Professional Cloud Architect CertificationGoogle2023