Description

Vous avez déjà pensé à un projet data entièrement automatisé qui vous ferait économiser beaucoup de temps et d'argent mais... vous ne savez pas comment faire ?

Oh, vous vous êtes dit :

Vous pouvez le faire vous-même... mais vous repensez à d'autres projets de données qui ont coûté de l'argent et du temps sans jamais aboutir
Vous allez utiliser vos ressources internes pour le faire... mais elles sont déjà mobilisées sur d'autres projets
Vous vous dite qu’utiliser l'IA générative pour monter un projet est votre dernier recours « oh cool je vais utiliser Claude pour coder au lieu de prendre un dev :) »

... mais vous perdez le contrôle de vos features ?

Eh bien, vous êtes au bon endroit : moi c’est Amin, freelance data engineer. Mon truc ? Transformer vos idées en projets data qui tournent vraiment ! — mais d'abord, connectons-nous !

Je vous propose de :

- avoir un échanger par chat sur votre projet

- prendre rendez-vous pour discuter + avoir quelques premières pistes pour savoir par où commencer

#dataengineer #gcp #spark #airflow #gcp #databricks #generative #ai #claude #gpt #gcpcertified

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 30km)

Freelance
Data Engineer
ENERGY AND UTILITIES
June 2024 - Today (2 years)
Paris, France
Freelance Tech Lead Data Engineer – Energy Sector

Led data engineering initiatives within the renewables energy sector, developing and deploying ETL pipelines and Generative AI solutions to automate processes and optimize operational efficiency

Developed and maintained approximately 10 ETL pipelines utilizing AWS Lambda and Dataiku

Orchestrated pipelines to automate processes and improve usability for end users

Analyzed billions of lines of near real-time renewable energy data to compute metrics for end users using PySpark and Dataiku recipes

Leveraged Generative AI project to automate a process that can help the client to save approximately 6 millions € per year. Using Azure OpenAI + Document Intelligence, for file processing to read content of PDFs (10+ differents formats) and Excels and translate it to tabular data to be help data analyst team to analyze it through Power BI

Led a Generative AI project to automate a process, resulting in an estimated annual savings of €6 million for the client. Utilized Azure OpenAI and Document Intelligence to process files (including 10+ PDF formats and Excel spreadsheets), extracting content and converting it into tabular data for analysis by the data analyst team using Power BI

Deployed RAG into production, optimizing function calling and prompt engineering

Deployed AWS cloud services using Terraform, including Lambda, Cloudwatch, KMS, SNS, and Parameter Store

Facilitated retrospectives to foster technical team growth and maturity

Skills: AWS, Python, PySpark, ETL, Dataiku, Generative AI
AWS Amazon Web Services Apache Spark IA générative AWS Lambda
Le Wagon
Data Engineer Teacher assistant
EDUCATION AND E-LEARNING
June 2024 - September 2024 (3 months)
- Helps students to understand key aspect of several tools (Apache Airflow, Spark ...)
- Guide students to resolves exercices
- Contribute to Github repo of Le Wagon to correct exercices instructions
Apache Airflow Data Engineer Python Big Query Google Cloud Platform (GCP)
Clustaar
Senior Data Scientist
DIGITAL AND IT
March 2018 - September 2023 (5 years and 6 months)
Paris, France
Improved and monitored a homemade NLP engine
Investigated research papers to improve chatbots
Developed and trained an autocomplete engine to ease usage of chatbots
using Elasticsearch through Elastic Cloud
Trained clients and in-house employees to help them understand the
behaviour of the NLP engine and how to make it better
Developed backend endpoints
Pandas Jupyter Elasticsearch Traitement de données Tokenisation Google cloud Cloud GCP Amazon Web Services AWS S3 AWS Lambda Elastic Cloud MongoDB PostgreSQL