Médoune Ndoye

Client: TotalEnergies Digital Factory (TDF) -Context: Energy consumption and cost analytics across FR/UK stakeholders; collaboration with AWS solution teams. -Architecture: Spark/PySpark on Databricks + Delta Lake; S3 data lake; Kinesis and Databricks; Lambda-based utilities; Databricks notebooks for ad hoc queries; CloudWatch and Databricks system tables for monitoring -Acted as a data modeler to build the data models of the product, build the data mapping references, handle the governance and build the data catalog -Ingested data from various sources via Databricks (Spark, DLT) -Built Data Quality checks for input and post-processing data

Client: Total DirectEnergies Collaboration: AWS solution teams -Context: Energy consumption and cost analytics across FR/UK stakeholders; collaboration with AWS solution teams. -Architecture: Spark/PySpark on Databricks + Delta Lake; S3 data lake; streaming ingestion via AWS SQS, Kinesis and Databricks; Lambda-based utilities; Databricks notebooks for ad hoc queries; CloudWatch and Databricks system tables for monitoring -Delivery: Modeled and shipped 3 new sources processing more than 2M events/day with latency < 60s for streaming. -FinOps: Right-sized clusters, job scheduling, and storage lifecycle -Run/Operations: Authored runbooks and automated ops to have automated functional and completeness testing -Testing/Quality: Test pyramid (unit, integration, functional DQ) -Visualization: Real-time dashboards (e.g live maps, power curves) enabling faster operational decisions and KPIs tracking -Analysis: Led the exploratory analysis on the different products, from the raw streams to the output tables, to find mismatches, broken business rules etc -Product: Acted as auxiliary Product Owner—prioritization, backlog grooming, stakeholder alignment, planning.

Client: Schneider Electrics -Context: Digitization of sustainability assets and reporting for US/UK/FR. -Architecture: S3 lake + Lambda services; Glue catalog; Sagemaker Notebooks; CloudWatch dashboards; integration with user-facing app with Streamlit for KPIs (CO2, water). -Delivery: Web app used by 30+ users; reduced manual entry by ~95% and improved data transparency; enabled historical retrieval post-migration -Governance/Compliance: Data classification and access controls; lifecycle policies; DQ checks and lineage to support reporting and audits. -NLP/GenAI: Cleaned/classified legacy/live datasets to detect patterns informing resource-saving initiatives. -Skill transfer: Held multiple workshops with multiple documentation to upskill the future front end users and the juniors taking up the project

Client: Randstad NE & US -Context: Migration from Legacy databases to Salesforce across US/NL/SE; worked with enterprise architects and domain owners. Architecture, Data Modeling, Data Governance. -Governance: Designed framework (catalog, ownership, DQ SLAs, stewardship); improved cross-domain consistency. -Data Quality: Rules and monitoring on key entities; reduced inconsistencies; ensured completeness and referential integrity across 10+ datasets. -Delivery: End-to-end migration support; mapping specifications; validation and reconciliation.