Independent · currently on a client project · Clermont-Ferrand

Open to opportunities · hybrid engagements · France & remote

Solid cloud & Data foundations, AI projects that ship to production.

Solution Architect & Tech Lead Data · Forward Deployed AI Consultant. I support enterprise customers from discovering the need through to production rollout: scalable solutions that create value, and generative AI use cases, on AWS, Azure and GCP.

About

I design. I deploy.

After 8 years across R&D, cloud architecture and dozens of data projects (some successful, others rescued just in time), I turned that field experience into my offering: an architect who knows the wrong turns before you take them.

I work directly with enterprise customers: from discovering the need and designing the solution through to deployment, support and iteration in production.

I design, I deploy, I pass it on. From technical foundation to business value.

8+
years of experience in AI, Data & Cloud
3
clouds mastered (AWS, Azure, GCP)
3
languages: FR, EN, AR

Services

My 4 areas of expertise.

End-to-end expertise, available on a fixed-price or time-and-materials basis depending on your needs.

Cloud & Data Platform Architect (AWS / Azure / GCP)

AWS, Azure, GCP: around 200 services to choose between on each cloud. I don't know them all, but I master the most common ones on each and have dug deep into a few, to build secure, scalable infrastructure aligned with Well-Architected best practices. Migration, cost optimisation (FinOps) and Build & Run ownership.

Data Architect: Modern Data Stack (dbt · Snowflake · Data Mesh · Vault 2.0)

Data pipelines that are reliable, stable and hold up under load. Command of dbt, Snowflake, Spark and Airflow, with battle-tested modelling: medallion architecture (bronze / silver / gold) and Data Vault 2.0 for auditable data warehouses. Beyond the classic pipeline, I work on event-driven architectures (Kafka, SQS / SNS), Data Mesh approaches with domain ownership, and read / write warehouse optimisation.

Gen AI Solution Architect (RAG · LangChain · LangGraph · Bedrock)

From generative AI (LLMs) to classic machine learning, I ship concrete use cases with measurable ROI: RAG conversational agents over internal document bases, business workflow automation through multi-agent orchestration. All on architectures designed for auditability, traceability and observability (LangChain, LangGraph, LangSmith, LiteLLM, MLflow, SageMaker).

Tech Lead & Strategic Advisory

Roadmap framing, technical leadership of data teams and agile management (sprints, backlog, CapEx / OpEx trade-offs). I guide decision-makers and teams towards best practices, and make them autonomous.

Experience

Results, not just models.

  1. Independent Solution Architect · Tech Lead Cloud, Data & GenAI

    2026

    Consulting and technical leadership on GenAI & Data: from discovering the need through to production rollout, working hands-on with engineering teams and business stakeholders.

    • Built a financial reconciliation system between the core system and 17 payment providers
    • GenAI project (LangGraph, LangSmith, LiteLLM) supporting fraud and AML investigations: investigation time down from 2 hours to under 2 minutes
    • Expanded a library of AI agent skills, enabling skill reuse across teams
    • Data platform modernisation: Talend to dbt, dbt Cloud to Airflow and Jenkins to GitHub Actions migrations
    • Designed and rolled out a FinOps tool tracking warehouse spend by department, team, project and scope, across a budget of over €1M
    • Ran training and coaching sessions on AI, Cloud and Data
    • LLM
    • LangGraph
    • LiteLLM
    • Python
    • Snowflake
    • dbt
    • AWS
    • Training
  2. Solution Architect · Tech Lead GenAI & Data

    · Betclic Group - Micropole Consultant Team of 5 Mar. 2024 - Dec. 2025

    End-to-end technical leadership and data architecture: design, modelling and production rollout of data and generative AI solutions on AWS and Snowflake.

    • Led a GenAI initiative, from idea to delivery: business-facing RAG assistant on AWS Bedrock
    • GenAI text-to-SQL assistant letting business users query production databases in natural language, with a SQL linting and validation layer guarding every generated query: adopted by 40 business users, removing SQL as a prerequisite for accessing data
    • Owned architecture and medallion data modelling on a payment platform of 8,000+ tables, several exceeding 3 TB (Snowflake, dbt)
    • Supported product teams on their GenAI use cases: technical framing, design reviews and trade-offs with stakeholders
    • Owned the roadmap, agile sprints and data backlog
    • LangGraph
    • LangSmith
    • LiteLLM
    • Python
    • AWS
    • Snowflake
    • dbt
    • Terraform
    • Airflow
  3. Tech Lead Data & Architect

    · APICIL - Micropole Consultant Team of 6 2024 (1 year)

    Design and industrialisation of a data migration engine to Snowflake via AWS.

    • Co-speaker at AWS Summit 2024: re-architected a sequential Python ingestion into a parallel Spark job, cutting runtime from 12h to 3h and saving over $150 per day in compute
    • Industrialised the cloud platform with Terraform across 4 environments, all the way to production
    • Built architecture proofs of concept (PoC) and defined the production roadmap with stakeholders
    • Accountable for a project’s build and run as Tech Lead Data
    • FinOps approach: cloud cost optimisation (Snowflake / Redshift sizing, consumption monitoring)
    • AWS
    • Spark
    • dbt
    • Snowflake
    • Terraform
    • Redshift
    • Glue
    • GitLab CI
    • FinOps
  4. Senior Data Engineer Consultant

    · PONANT - Micropole Consultant Team of 7 2023 (1 year)

    Stabilisation and optimisation of the AWS data platform, and ownership of the cloud migration roadmap.

    • Stabilised a failing production environment: resolved recurring ingestion timeouts by simplifying the data model, resizing warehouses and indexing critical columns
    • Migrated legacy workloads to AWS Lambda orchestrated with Step Functions, and built the GitLab CI/CD pipeline from scratch on a self-hosted EC2 runner
    • Extended the Data Vault 2.0 model with new hubs, satellites and links for additional business use cases
    • AWS
    • Lambda
    • Step Functions
    • GitLab CI/CD
    • Data Vault 2.0
    • Python
    • Snowflake
    • Redshift
    • Glue
    • Terraform
  5. Data Scientist / Data Engineer

    · ATOS - Innovation R&D, Grenoble Team of 10 Oct. 2018 - Nov. 2022 (4 years)

    Data & AI R&D: machine learning models taken to production under real-time latency constraints, and scalable cloud architectures designed on GCP and Azure.

    • French Ministry of Education: production chatbot serving 3M+ users, including the real-time architecture behind it
    • French Ministry of the Interior: R&D on computer vision and face emotion classification
    • European Parliament: TURBOT R&D project: real-time microservices architecture (Kafka, Kubernetes) for a question-answering conversational agent
    • European Union: speech recognition models (ASR / STT) and sentiment analysis
    • Michelin: incoming email classification systems
    • Cloud architecture, microservices and CI/CD pipelines (Kubernetes, Kafka, Azure, GCP) used to validate client use cases
    • R&D
    • Innovation
    • Python
    • Azure
    • GCP
    • Kubernetes
    • Kafka
    • CI/CD

Awards

Prizes & hackathons.

Challenges tackled against the clock, rewarded by expert juries.

Hack to Act · Kering · 1st Prize
1st Prize · €10,000

Hack to Act · Kering

Oct. 2020 · 48h

A Machine Learning platform predicting environmental impact across the entire luxury supply chain: automatic generation of predictive models and a recommendation engine (collaborative, content-based, hybrid) for more sustainable choices.Learn more

  • Machine Learning
  • AI
  • TTS
  • Python
  • PyTorch
  • Keras
Viva Technology 2019 · 1st Prize
1st Prize · €5,000

Viva Technology 2019

May 2019 · 36h

An AI solution over anonymised medical data from diabetic patients: clustering into 5 profiles, prediction of future complications (nephropathy and others) and recommendation of treatment and follow-up. Sanofi × Cegedim × IBM challenge.Learn more

  • Machine Learning
  • Clustering
  • Python
IATA Hackathon · Geneva 2018 · 3rd Prize
3rd Prize

IATA Hackathon · Geneva 2018

Sep. 2018 · 36h

A data-driven solution to reduce air passenger stress: using traveller journey data to smooth out the airport experience.Learn more

  • Java JEE
  • Spring
  • Angular 4

Education

The academic foundations.

  1. Master's Degree, 2nd year

    ·Computer Science2018 - 2019

    Grenoble Alpes University

    1 year of internship at Atos

  2. Bachelor's Degree, 3rd year

    ·Computer Science2016 - 2017

    Lille 1 University

    3 months of internship

  3. Preparatory Classes for Grandes Écoles

    2013 - 2015

    Hassan First University

Tech stack

The tools I master.

Hover to explore

  • Python Python
  • AWS AWS
  • Azure Azure
  • Google Cloud Google Cloud
  • LangChain LangChain
  • LangGraph
  • LangSmith LangSmith
  • Terraform Terraform
  • Docker Docker
  • Kubernetes Kubernetes
  • Apache Kafka
  • Apache Spark Apache Spark
  • Airflow Airflow
  • dbt dbt
  • Snowflake Snowflake
  • PyTorch PyTorch
  • TensorFlow TensorFlow

Core skills

Programming
  • Python
  • SQL
  • JavaScript
  • Spark
  • Java
  • C
AI & ML
  • Generative AI
  • LLMs
  • RAG
  • AI Agents
  • Agentic workflows
  • text-to-SQL
  • LLM-as-a-judge
  • Prompt Engineering
  • LangChain
  • LangGraph
  • LangSmith
  • LiteLLM
  • PyTorch
  • TensorFlow
  • Keras
  • MLflow
  • SageMaker
Cloud & Infra
  • AWS
  • Azure
  • GCP
  • Docker
  • Kubernetes
  • Terraform
  • CI/CD
  • GitLab CI
  • GitHub Actions
  • AWS Glue
  • AWS Lambda
  • Step Functions
  • EC2
  • SQS / SNS
  • FinOps
Data & Integration
  • Snowflake
  • dbt
  • dbt Cloud
  • dbt Core
  • Medallion architecture
  • Databricks
  • Redshift
  • DynamoDB
  • MongoDB
  • Oracle
  • Airflow
  • Kafka
  • FastAPI
  • REST APIs
  • Data Vault 2.0
  • Data Mesh

Testimonials

They trusted me.

Hamid is the kind of person who brings both good spirits and skill to a project. He has solid knowledge of Data, Python, containerisation and computer vision ...
Emeric Dynomant, Tech Lead & AI Architect @ SRES
In my career, I have rarely seen someone as interested and involved as Hamid. He delivered many features while investing himself fully in the project (getting to grips with our stack, engaging with the various stakeholders). A very good listener...
Francis Bacquet, Senior Technical Engineer @ AXA

Contact

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