Hello,

I'm Meriam

Staff Data Engineer Freelance

Discover how i can help you :

About

As a data professional, I leverage the services of cloud providers to extract value from data. After 8 years experience, my aim is to help companies build and develop their ideal, future-proof data platform.
My purpose is to work methodologically, via an established plan, to identify your needs, understand your organization, your trade-offs and your current and future business cases. In response, I propose customized solutions to be implemented, accompanied by a costing and a roadmap. In addition, I offer my services during the development-coding phases to support you during implementation.
Cloud service providers such as AWS, Azure and Google Cloud offer a range of tools and services that can transform the way companies manage and use their data. For my part, I mainly work on AWS. Like this website, whose sample applications, security, hosting and distribution use AWS services.

Offers

1 - Audit & Assessment

STEP 1

Tell me about your needs as you have identified them to date, or at least, the projects you would like to start.

STEP 2

We talk about your technical stack to help me understand your current environment.

STEP 3

I'll get back with a value proposition containing :

Optionnal: Market study of available tools or databases on the market with required functionalities.
Documentation explaining the solution(s) needed, detailing the impact on your current environment and the added value (data uses cases, costs benefits, scalability, modularity, automation, recovery, controls ...).
An architectural design.
An estimation of your future operating costs.
A proposed schedule for implementation.
A commercial proposal to help you in the development process. (Signature Offer)
A presentation to summarize all these elements.

Estimated lead time: 5 days

2 - Development support

STEP 1

Presentation of the project and skills required.

STEP 2

Together, we check that my background and skills match.

STEP 3

I'll get back with a value proposition containing :

A proposed schedule for implementation if necessary.
A commercial proposal.
Follow-up documentation with action plan.

Estimated lead time: According to your needs.

3 - Signature Offer

From idea to realization

Combination of the offers 1 & 2

Purposes to implement :

End-to-end worflows
Databases Modelisation
ML ops workflows
IoT workflows
Cataloging
Governance
Datalab
Monitoring
Enhanced data and workflow security

Estimated lead time: According to your needs.

Portoflio

Qualifications Experiences Skills

In progress

AWS Data Architect

Services on AWS
Infrastructure on AWS
Cost Performance
Application Performance

In progress

Databricks Data Engineer Associate

Databricks Lakehouse Platform
ETL with Spark SQL and Python
Incremental Data Processing
Production Pipelines
Data Governance

Delivered on 2023

Snowflake Hands on Datawarehouse

Data Integration
Data Processing
Data Administration

Delivered on 2021

AWS Machine Learning Specialist

Data Science Services on AWS
ML Ops Service on AWS
Data Modeling
Model Evaluation
Model Deployment

Delivered on 2021

AWS Developer Associate

Development Optimization with AWS Services
Application Packaging
CI/CD Deployment
Issue Resolution for Application

Delivered on 2019

Dataiku Level 1

Pipeline Development on Dataiku
Data Governance
Data Ingestion with Databases Connexion
Model Evaluation
Model Deployment
Web App development

Delivered on 2019

Dataiku Level 2

Dataiku Installation on Instance
Functionnalities Administration
Three nodes Undersanting (Design, Automation, Deployer)

Delivered on 2019

Applied Data Science with Python

AI/ML Models Development
AI/ML Models Evaluation

Delivered on 2016

Bac+5 master's degree

University Lyon 1 - France

Statistic
Informatic
Numerical Techniques

Freelance as Data Engineer

Since May 2025

Data Architect

6 months

Data Scientist / Engineer / Architect

4 years and 2 months

Data Scientist and Engineer

1 year and 7 months

Data Scientist and Engineer

1 year

Stream creation to ingest and structure data cookies from a website.
This portfolio website creation with Data Applications.

Creation and animation of a data architectural community to handle a Data platform on AWS.
Supervising development and deployment -ML Ops- of churn model on Snowflake.
Design contribution for an architectural IoT platform.

Data Platform conception on AWS, diagram and assessment workshops conducted.
Audit realisation followed by technical and commercial design purpose in response to calls for tender.
Managing Big Data Platform on AWS (build and run).

Data Flow development and deployment with CI/CD process to ingest automatically data delivered by providers or internal sources in Database. Adapted to business needs, costs or times constraints.
Data Governance management through IAM roles and policies permissions (read,write,list...) with the principe of Grant least privilege. Keen eyes regarding security improvement (RGPD) with storage location and anonymisation.
Optimization of queries with Spark and SQL, batch or streaming depending data avaibility required.
Data quality checks methods and Data Formatting depending data understanding and needs.
Data Modeling flow generated for the cataloging.
Data Lineage: metadata generated through log file with Delta Lake features and ACID properties.
Monitoring : through a tool like Airflow and notification included on the flow.
Communication with data providers to find a securised solution allowing the transfer of data. (Credentials, protocols, network constraints).
API understanding to connect with platforms, IoT and Database in Private Network (Palantir, Databricks, Snowflake, Cloud Providers Services, SFTP command line).

Application and deployment -ML Ops- of a wide range of Machine Learning and Deep Learning models:

Search bar with IA NLP method
Prediction with classification methods
Clustering
Detection of departing customers (CHURN)
Application development through Web App, reporting, Dashboard and website

Completed several certifications :

To learn how create and manage inbound and outbound data flows and storage
To learn how develop some AI/ML models
To learn how evaluate models and deploy them in the AWS cloud environment.
To learn how work with AWS Services and others platform like the lakehouses Dataiku, Databricks or Snowflake

Database audit and data quality assessments.
Automated reporting through Tableau and Salesforce (graphs, statistical descriptives tables, word clouds).
Data extraction and cleaning with R Studio and Excel.

Creation of several monthly performance indicators updating throught SPSS Modeler
Data were stored into data warehouse for consumer visualization on Tableau
Proove of concept : Algorithme creation on R to find reasons of a network outage
Tableau Software Certification obtained

Languages

Python

SQL

R Studio

PySpark

Serverless

Terraform

HTML/CSS/JS

Container Image

Activities

Data workflows development

MLOps workflows development on AWS and Azure

Databases Administration and Modelisation

Governance model Construction and Administration

Monitoring & Alert development

Architectural Design with costs estimation

Costs Optimization

GIT workflows development

Technologies Watch and Strategy

IoT Connexion

Others

Presentation and Documentation

Methodologie CRISP and AGILE

Operationnal English

Blog and Application

Application 1

In progress

Contact

Linkedin

Email

Send me a message

If you are interested by my profile, please let me know.

It will be a pleasure to respond quickly.