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I bring 6+ years of experience building and operating reliable data platforms in high-stakes environments (health, fraud prevention, marketing analytics), where data quality, monitoring, and robustness are essential. I’m very comfortable with Python, SQL, APIs, testing practices, orchestration (Airflow/DBT) and cloud environments, and I’ve often acted as a bridge between technical and non-technical stakeholders. Beyond the technical side, I’m proactive, rigorous, and used to supporting production data systems — including monitoring, incident response, and continuous improvement — which aligns closely with the Data Reliability Engineer role.…I bring 6+ years of experience building and operating reliable data platforms in high-stakes environments (health, fraud prevention, marketing analytics), where data quality, monitoring, and robustness are essential. I’m very comfortable with Python, SQL, APIs, testing practices, orchestration (Airflow/DBT) and cloud environments, and I’ve often acted as a bridge between technical and non-technical stakeholders. Beyond the technical side, I’m proactive, rigorous, and used to supporting production data systems — including monitoring, incident response, and continuous improvement — which aligns closely with the Data Reliability Engineer role.

Marouane Hilal

Data Scientist, Back-End Developer, Front-End Developer, +4

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I bring 6+ years of experience building and operating reliable data platforms in high-stakes environments (health, fraud prevention, marketing analytics), where data quality, monitoring, and robustness are essential. I’m very comfortable with Python, SQL, APIs, testing practices, orchestration (Airflow/DBT) and cloud environments, and I’ve often acted as a bridge between technical and non-technical stakeholders. Beyond the technical side, I’m proactive, rigorous, and used to supporting production data systems — including monitoring, incident response, and continuous improvement — which aligns closely with the Data Reliability Engineer role.…I bring 6+ years of experience building and operating reliable data platforms in high-stakes environments (health, fraud prevention, marketing analytics), where data quality, monitoring, and robustness are essential. I’m very comfortable with Python, SQL, APIs, testing practices, orchestration (Airflow/DBT) and cloud environments, and I’ve often acted as a bridge between technical and non-technical stakeholders. Beyond the technical side, I’m proactive, rigorous, and used to supporting production data systems — including monitoring, incident response, and continuous improvement — which aligns closely with the Data Reliability Engineer role.

Available to hire

I bring 6+ years of experience building and operating reliable data platforms in high-stakes environments (health, fraud prevention, marketing analytics), where data quality, monitoring, and robustness are essential.

I’m very comfortable with Python, SQL, APIs, testing practices, orchestration (Airflow/DBT) and cloud environments, and I’ve often acted as a bridge between technical and non-technical stakeholders.

Beyond the technical side, I’m proactive, rigorous, and used to supporting production data systems — including monitoring, incident response, and continuous improvement — which aligns closely with the Data Reliability Engineer role.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

French

Fluent

English

Advanced

Arabic

Advanced

Work Experience

Data Engineer at Loréal

April 1, 2024 - April 1, 2024

Optimized and monitored the Data Science team's BigQuery data pipeline, improving performance and reliability and implementing alerting with Cloud Monitoring. Built interactive dashboards with Looker Studio for model analysis and decision support. Migrated SQL pipelines to DBT with automated tests and CI/CD. Developed a model validation API (Python/FastAPI/Cloud Run).

Data Engineer at Veolia

April 1, 2024 - November 4, 2025

Implemented a Flask/Cloud Run app to expose BigQuery metadata across projects, enabling an interactive Data Studio dashboard. Optimized BigQuery pipelines with clustering/partitioning and incremental loading using DBT. Built a Flask/Cloud Run API to ingest sensor data from JSON APIs, loading into BigQuery via Cloud Functions and GCS. Tech stack included Flask, Cloud Run, BigQuery API, Python, Airflow, DBT, Data Studio, Terraform, Cloud Build, React, App Engine, Docker, GCS, Jira, GitHub.

Data Engineer at L'Oréal

January 1, 2023 - April 1, 2024

Optimized and monitored the Data Science team's BigQuery data pipelines; improved performance and reliability, and implemented an alerting system with Cloud Monitoring; built interactive dashboards in Looker Studio and monitored the MMM model; migrated SQL data pipelines to DBT with Airflow-based orchestration and automated tests/CI/CD; developed a model validation API using Python/FastAPI/Cloud Run.

Data Engineer at Equativ

November 1, 2022 - November 1, 2022

Designed and implemented ETL pipelines to aggregate advertising data (TBs/hour) from client sites into ClickHouse and HBase, and maintained pipelines in Spark/Java/HBase. Migrated core production data pipeline from Hadoop to GCP with DEV/PREPROD/PROD environments, plus dashboards/metrics to monitor migration using Dataflow, Bigtable, BigQuery, Java, Python, Terraform. Built Looker Studio dashboards for qualitative tracking, and implemented security rules/roles via Terraform. Managed ClickHouse DW for real-time/historical data.

Data Engineer at Equativ

November 1, 2021 - November 1, 2022

Designed and implemented ETL pipelines to aggregate advertising data (TB/hour) from client websites into Clickhouse and Hbase; migrated main production data pipeline from Hadoop to GCP, setting up DEV, PREPROD, PROD and dashboards/metrics to monitor the migration; developed Looker Studio dashboards; implemented security rules/roles with Terraform; managed Clickhouse data warehouse and production deployments.

Data Engineer at Xandr – Microsoft

November 1, 2021 - November 1, 2021

Designed and implemented an automated real-time bot prevention application for online advertising (Whiteops, ETL, Airflow, Python, Pandas). Migrated data pipelines from Hadoop to Azure Databricks, creating DEV/PREPROD/PROD environments and dashboards/metrics to monitor migration (Spark, Azure Databricks, Scala, Terraform). Proposed and implemented improved data-pipeline architecture for performance and memory/CPU efficiency; worked with Java/Spark/Scala across multiple applications for reporting and fraud prevention.

Data Engineer at Xandr – Microsoft

April 1, 2018 - November 1, 2021

Designed an automated real-time bot prevention application for online advertising; migrated data pipelines from Hadoop to Azure Databricks with DEV/PREPROD/PROD environments; improved data-pipeline architecture for performance; built dashboards (Grafana/Redash) for fraud monitoring and reporting.