Meryam D.

Introduction

Over the past 6 years, I've designed and scaled data platforms for startups across Switzerland, Germany, Romania, and Morocco — always remotely, always delivering. What I do: → Data Platform Engineering: End-to-end ELT/ETL pipelines with Airflow, Dagster, Kafka, and Spark. I've built systems processing 500K+ daily events and serving real-time analytics to executive teams. → Analytics Engineering: Production dbt projects with 120+ models, governed metric layers, and CI/CD pipelines. I turn messy databases into clean, tested, documented data assets that analysts actually trust. → AI/ML Data Infrastructure: RAG pipelines, vector databases (Pinecone, Weaviate), MLflow feature stores, and LLM integration layers. I build the data backbone that AI products need to work reliably. → Cloud & Infrastructure: Deep AWS expertise (Lambda, EKS, Kinesis, Redshift, EMR, Step Functions). Terraform for IaC. Kubernetes for orchestration. I've cut cloud costs by 40% while improving pipeline uptime to 99.7%. My stack: Python · SQL · dbt · Snowflake · ClickHouse · AWS · Spark · Kafka · Kubernetes · Terraform · Dagster · Airflow · Docker · MLflow · LangChain Industries: SaaS, HealthTech, FinTech, ITAM/Compliance, Loyalty & Payments I'm currently open to senior data engineering, data platform, and analytics engineering roles — remote, contract or full-time. Let's talk: [email protected]

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