Mehdi M.

The world is running on data, but the real challenge is turning that data into actionable insights and scalable solutions. I help businesses bridge the gap between raw data and real-world impact using cloud technologies.

As a Cloud Data and ML Consultant at AWS, I specialize in AWS Data Services, ensuring my clients get the most out of cloud. With a focus on real-time data processing, analytics, Machine Learning, and Generative AI; I support businesses in building scalable, efficient data platforms & applications that drive results, whether through a migration or from scratch. At AWS, I’ve gained deep expertise in AWS best practices and reference architectures, as well as an insider perspective from collaborating with AWS service teams giving me firsthand knowledge of the latest features and capabilities.

I'm passionate about continuously learning and working alongside brilliant minds to solve complex, real-life problems. Whether it's leading data teams, designing architecture, or delivering mission-critical solutions, I love diving into challenging projects that require creativity and innovation.

I'm particularly focused on:

- AWS Data Services (EMR, MSK, Glue, Athena, Aurora, Redshift, Lake Formation, Kinesis, S3)

- AWS ML Services (Bedrock, SageMaker)

- Python and SQL

- DataOps and pipeline automation through IaC : AWS cdk, Terraform & CloudFormation; Jenkins, CodePipeline

- Analytics Industry : dbt, Snowflake, Databricks, Iceberg & Other Open Table formats

- Generative AI: • LLMs, LangChain, LangGraph, Prompt Engineering, Retrieval-Augmented Generation (RAG), Agents and orchestration frameworks (LangChain Agents, CrewAI)

In our collaboration, you can expect:

- Immediate impact: Get things done, meet deadlines, and push through your data & AI challenges.

- Long-term value: Train your teams, automate processes, and build sustainable solutions that outlast any single project.