Mamadou Korka Diallo

As a Data Engineer, certified Azure Data Engineer and Databricks Data Engineer, I have the opportunity to be at the heart of data strategies, with missions as varied as they are exciting:

🚀 DESIGN of robust and scalable data architectures.

🔄 DEVELOPMENT of data pipelines (using ETL tools).

🔍 MANAGEMENT of data quality and governance.

🤝 CLOSE COLLABORATION with business teams and Data Scientists to meet analytical needs.

👓 TECHNOLOGICAL WATCH to stay up-to-date with the latest innovations.

⚡ PERFORMANCE OPTIMIZATION.

🤖 AUTOMATION of processes to improve efficiency.

📚 DOCUMENTATION and knowledge sharing for better collective efficiency.

Data engineering is a constantly evolving field, serving informed decisions and innovation!

Analyze the data needs of different teams to define the most suitable architectures and technologies for each use case.

Design and implement data pipelines that collect, process, and store data automatically and reliably.

Develop tools and applications that facilitate data access and analysis, working in collaboration with Data Analyst and Data Scientist teams.

Improve data quality and reduce security risks through robust and high-performance data management architectures and tools.

Implementation of CI/CD pipelines and a pipeline for executing Notebooks on Databricks from Azure DevOps.

I have worked on various complex projects in my assignments, which has allowed me to develop solid expertise in the design and optimization of data pipelines. I collaborated with multidisciplinary teams to understand the specific needs of each project and translated these requirements into effective technical solutions.