Freelancer profile translated to English.
Back to original languageAbout Mahamadou Salissou
Who am I?
I am Mahamadou,Lead Data Engineer & Analyticswith+8 yearsof experience in thedesign,industrialization, andadministrationof production-readyData & AI platforms.
My hybrid background, combining Data Engineering and Data Science, allows me to bridge the gap between complex technical architecture and applied business use cases. I support my clients from the scoping phase through to adoption by end-users, on projects.
WHY WORK WITH ME?
Beyond my technical expertise, I place great importance on teaching and support to ensure the adoption of deployed solutions by target users. My key missions illustrate this:
-Tech Lead Data & Analytics Platform (EDF): Deployment and administration of a Databricks DataLab serving analytical and ML use cases internationally. Support, training, and assistance for business users.
-Lead Data Engineer (EDF): Creation of complex serverless AWS pipelines (Lambda, SQS, S3, Athena) to ingest and process data from global solar power sites (IoT).
-Data Apps (Transport Sector): Development and deployment of a multi-source data consolidation application reducing analysis and reporting time from several weeks to less than 10 minutes.
MY STACKS AND TECH:
Data Engineering & Cloud Architecture: AWS (S3, Athena, Redshift, RDS, Lambda, Glue, EventBridge), Databricks, Apache Spark, SQL, Python, Polars, Pandas, Terraform, Terragrunt, GitLab CI
Machine Learning & AI: PyTorch, Scikit-Learn, TensorFlow, AWS SageMaker.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- EDFLead Data Engineer | Data & Analytics PlatformENERGY AND UTILITIESJuly 2024 - Today (1 year and 11 months)Nanterre, FranceContext / MissionsCurrently at EDF Power Solutions, I am leading thedeploymentandadministrationof aData & Analytics platformbased onDatabricksandAWS, used foranalyticsandmachine learninguse cases across several business units and countries.I design and industrialize data ingestion and transformation pipelines from APIs, databases, and AWS services, with a focus on scalability, governance, and reliability.I also support platform adoption through training, support, and enablement actions, to help teams accelerate the implementation of their data use cases.Skills: Platform Engineering, Data Engineering, ETL/ELT, Cloud Data Platform, MonitoringTech: Databricks, Spark, SQL, AWS, GitLab, Terraform, Terragrunt
- Capgemini Consulting - Capgemini InventSenior Data Engineer | Data Scientist (Computer Vision)ENERGY AND UTILITIESOctober 2021 - June 2024 (2 years and 8 months)Paris, France
Context / Missions
Within the Data and Computer Vision team, I led severaldata engineeringmissions and developedanalytical solutionsfor various clients.EDF Power Solutions- I led data engineering efforts for the implementation of AWS pipelines using notablyLambda, SQS, S3, Athena, Redshift, RDS, EventBridge, and Grafana. The objective was to collect, process, and leverage data from solar power sites worldwide to produce reliable and actionable production performance indicators (KPIs).
Client in the Transport Sector- I designed adata applicationtoconsolidate multiple data sourcesinto an automated and structured reporting workflow. This solution reduced theanalysis time from 1-2 weeks to less than 10 minutes.
In parallel, I carried out several consulting missions with a strong analytical and AI component, including:- Study onuncertainty quantificationapplied tosatellite image segmentation for a Defense sector player
- Collection and Analysis of tweets for a public sector player,
- Development of an application for collecting availability and prices of electronic components for a Defense sector client, in a context of global shortage
Skills Utilized
MethodsData Engineering | Data Processing | Machine Learning | Deep Learning | Analytics | Software EngineeringTools / TechnologiesAWS | Python | Spark | PyTorch | Scikit-learn | Docker | Linux | Git | Streamlit - EquancyDeep learning internCONSULTING AND AUDITSApril 2018 - September 2018 (5 months)Paris Metropolitan Area, FranceAt Equancy, I developed a prototype NLP tool to convert business questions into SQL queries, making company data more accessible to non-technical users.This mission aimed to facilitate self-service data access through natural language processing techniques applied to analytics.
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Education
- Engineering degree, Machine Learning / StatisticsEcole nationale de la Statistique et de l'Analyse de l'Information2018Diplôme d'ingénieur, Machine learning / Statistique
- Data Engineer Nanodegree, Computer and Information Sciences and Support ServicesUdacity2021Data Engineer Nanodegree, Computer and Information Sciences and Support Services