Looking for a job

souhayla ELMEFTAHI

@souhaylaelmeftahi

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I build production data platforms, pipelines, and analytics for insurance and telecom teams.

Morocco

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What I'm looking for

I'm looking to build and improve production data platforms, pipelines, data quality systems, and analytics products that support business and strategic decisions.

At Ominimo Insurance, I build data platform layers and automated financial reporting pipelines processing millions of records. I own Airflow pipelines, data quality checks, dashboards, and datasets that support pricing, risk segmentation, and leadership decisions.

Previously at Sofrecom, I delivered a federated analytics platform using Trino and BigQuery, reducing pipeline costs by roughly 25% and time-to-insight by roughly 30%. I work across Python, SQL, Airflow, dbt, AWS, GCP, and Azure.

Experience

Work history, roles, and key accomplishments

Current

Junior Data Engineer → Data Engineer I

Current

Ominimo Insurance

Sep 2025 - Present (1 year 1 month)

Contributed to the design and led the implementation of the Poland market layer on the company's new internal data platform. Replaced a manual reporting process with an automated pipeline computing core business and financial KPIs, and built and maintained 10+ Airflow DAGs.

Python SQL Airflow DBT AWS BigQuery Kibana

Data Engineer

Sofrecom

Jan 2025 - Aug 2025 (7 months)

Delivered a federated analytics platform end to end using Trino for data virtualisation over BigQuery. Cut pipeline costs by roughly 25% and time-to-insight by roughly 30% through dynamic Airflow orchestration and query federation.

Python Trino Airflow DBT BigQuery Redis Docker Grafana

Cloud Data Engineer

Broccolidata

Jun 2024 - Aug 2024 (2 months)

Built cloud-native, event-driven data pipelines across GCP and AWS using serverless compute and object storage.

GCP AWS Azure Docker Python

Education

Degrees, certifications, and relevant coursework

École Nationale des Sciences Appliquées d'Al-Hoceima

Engineer's Degree (Bac+5), Data Engineering

Grade: Honours

Graduated with honours in Data Engineering, covering mathematics, statistics, machine learning, deep learning, NLP, data mining, cloud computing, software architecture, entrepreneurship, and digital transformation.