Meryam Daoudi
@meryamdaoudi
I build scalable cloud data platforms, pipelines, analytics layers, and self-serve dashboards.
What I'm looking for
I've built end-to-end data platforms for DotWorld, OrbitHealth, Licenseware, and Kenz'up across SaaS, healthcare, software licensing, and payments. My work spans real-time ingestion, ELT pipelines, analytics layers, data warehouses, and self-serve dashboards.
At DotWorld, I overhauled a ClickHouse warehouse serving 10 SaaS products, built Dagster CDC pipelines for MongoDB Atlas, and standardized marketing, subscription, and revenue KPIs through a medallion dbt layer. I also led a two-person data team and developed a chargeback risk model using geography, behavioral signals, and payment data.
At OrbitHealth, I owned the data platform as the sole lead data engineer, architecting a real-time serverless AWS pipeline supporting 100K+ users for wearable motor-state predictions. I led a migration to serverless orchestration, reduced data-processing workloads by 50%, and built SageMaker MLOps workflows and GDPR-compliant physician APIs.
Earlier, I developed licensing-compliance pipelines at Licenseware and centralized loyalty and payment transaction data at Kenz'up. I work hands-on with Python, SQL, AWS, Terraform, dbt, Dagster, ClickHouse, Spark, and modern BI tools while partnering directly with technical, product, clinical, and business stakeholders.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer / Data Team Lead
DotWorld
Jan 2025 - Feb 2026 (1 year 1 month)
Overhauled ClickHouse warehouse across 10 SaaS products, introduced MergeTree engines and partitioning, and built a Dagster CDC pipeline for MongoDB Atlas. Led a data team of two, ran code reviews, and designed a medallion dbt layer with CI/CD.
Education
Degrees, certifications, and relevant coursework
École Nationale Supérieure d'Informatique et d'Analyse des Systèmes
Master of Science, Data Analytics & Business Intelligence
2017 - 2020
Pursued a Master of Science in Engineering with a focus on Data Analytics and Business Intelligence.
Classe Préparatoire aux grandes écoles Ibn Taymiya
Classes Préparatoires, Mathematics, Physics, and Engineering Sciences
2015 - 2017
Completed preparatory classes in Mathematics, Physics, and Engineering Sciences (MPSI/MP).
Availability
Location
Authorized to work in
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