Description

Accelerate your Data & Cloud Transformation

I help companies design, deploy, and optimize robust, scalable, and secure Data architectures. As a Lead Consultant, I translate your business challenges into high-performing technical solutions while ensuring industry best practices.

My core expertise:

°Architecture & Modeling: Designing Data solutions (Data Lake, Data Warehouse) tailored to your volume and specific use cases.

°Data Engineering & Automation: Building reliable data pipelines and industrialization (CI/CD).

°Cloud & DevOps: Deploying optimized, scalable, and resilient infrastructures.

°Technical Leadership: Auditing, technology selection, and fostering a culture of technical excellence.

Tech Stack & Ecosystem:

°Cloud: Amazon Web Services (AWS)

°Languages: Python

°DevOps & Infra: Kubernetes, Terraform, Docker, CI/CD pipelines

°Data: (Snowflake, Spark, Airflow, dbt)

My approach:

I value transparent communication, knowledge sharing, and fast value delivery. Whether for a quick audit, architecture scoping, or long-term support, I seamlessly integrate into your teams.

Ready to tackle your technical challenges? Let's discuss your needs during a first call!

Domaines d’expertise

Langues

Anglais
Bilingue ou natif
Français
Bilingue ou natif

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

Confidential Client
Lead Consultant
BANQUE & ASSURANCES
octobre 2022 - avril 2023 (6 mois)
Acted as the Lead Data Architect for a major enterprise client, overseeing the end-to-end modernization of their data infrastructure to support advanced analytics and high-volume data processing.

Key Achievements & Responsibilities:

°Architecture & Strategy: Architected a highly available, secure, and scalable cloud-native data platform on AWS, ensuring strict compliance with industry data governance standards.

°Data Engineering: Designed and deployed robust, automated data pipelines using Python to optimize data ingestion, transformation, and storage workflows.

°Cloud & DevOps Automation: Streamlined infrastructure deployment by integrating Kubernetes and defining robust CI/CD pipelines, significantly reducing deployment times and operational overhead.

°Technical Leadership: Guided cross-functional engineering teams, providing mentorship on cloud best practices, DevOps culture, and scalable architecture design.

Tech Stack: AWS, Python, Kubernetes, DevOps, CI/CD, Terraform.
AWS Fargate Python Data Engineer Kubernetes DevOps
DevdasGlobal
Lead Consultant
septembre 2022 - Aujourd'hui (3 ans et 9 mois)
Drove P&L-impacting transformations at DevdasGlobal, delivering €2.1M in incremental value within first 12 months.
Engineered a proprietary execution framework adopted globally, cutting time-to-market by 40% and errors by 55%.
Led 8 direct reports and influenced 30+ cross-functional stakeholders. Built two high-performing teams from scratch.
Increased client NPS from 52 to 89 — highest in company history.
Selected by CEO to turn around a failing €5M project: delivered 3 months early with 18% under budget.
Promoted twice in 18 months. Fastest trajectory in DevdasGlobal history.