Éric Tchindje

In this role, I contribute to the structuring and optimization of business operations by combining performance management, operational excellence, and business development support. I work closely with leadership to enhance visibility, efficiency, and sustainable growth across the organization. Key responsibilities include: - Implementation of internal monitoring and management reporting - Preparation and coordination of consultant recruitment (sourcing and candidate qualification) - Operational excellence in daily, weekly, and monthly production activities.

Wrapping up an amazing journey at Keayros Analytics as a Data Scientist & Data Engineer! I had the chance to work across the full data lifecycle — from designing databases and building ETL pipelines to creating dashboards that turn data into insights. I specialize in building scalable data solutions that empower businesses to make smarter, data-driven decisions. Key Skills & Expertise: - Designing, modeling, and architecting databases - Implementing data warehouses and data marts aligned with business objectives - Creating data catalogs, defining data lineage, naming conventions, and documenting metadata - Developing ETL pipelines for batch and streaming data using Kafka and Spark - Containerizing and deploying solutions on AWS - Building interactive dashboards and reports with Tableau and Power BI - Managing the full data project lifecycle — from exploring data sources and cleaning data to designing impactful dashboards Technologies Stack: Python | SQL | PySpark | Kafka | Snowflake | Microsoft SQL Server | NoSQL | Apache Airflow | Power BI | Tableau | FastAPI | AWS | CI/CD | Docker

Architect dozens of back-end services and APIs using Django and Fastapi to support diverse business requirements. Implement DevOps practices with Git, GitLab CI/CD, and Docker, achieving 30% faster deployment cycles and streamlined integration processes. Technology Stack: Languages: python Backend: Django, fastApi, Flask Database: PostgreSQL, MongoDB, Redis DevOps : git, CI/CD(gitlab action), Docker Tools and methods: slack, jira, scrum

- Develop predictive models for incident detection and user segmentation - Build BI dashboards to optimize emergency alert system (SOS Cameroun App) - Conducted exploratory data analysis and feature engineering - Automated reporting workflows and visual analytics