Youness E.

As the sole Data Engineer, established the GCP data architecture from scratch to support batch analytics pipelines for 35+ games/apps with millions of users generating data.

- Designed and built ELT pipelines using Airbyte, cloud run functions and event driven scheduling data ingestion from diverse sources; Managed transformations using Dataform (DBT) running on BigQuery;

- Migration of Airbyte from Google Kubernetes Engine (GKE) to Google Compute Engine (GCE) machines, resulting in substantial cost reduction (45%)

- Established observability frameworks (metrics and real-time alerting) for key KPIs monitoring apps in production, reducing critical SDK issue identification time by up to 80% (5-6 days to 1-2 days).

- Implemented task automation, resulting in a 4-5 hour reduction per team per week in report writing and filing responsibilities; Slack bots to deliver daily key metric notifications tailored to specific division

- Data Volume: 10s of Millions of rows daily

Skills: BigQuery, Dataform, DBT, Airbyte, GCE, CloudSQL, Pulumi, cloud functions, GCP, Python, GitHub Actions

Hired early and contributed to scaling from 24 to 150+ in France office, fostering a high-stakes, highly technical scale-up environment

- Created and maintained high-performance BigQuery SQL queries at scale to reliably power all critical customer-facing dashboards (JP Morgan, Deutsche Bank ...), ensuring data accuracy and freshness for critical product features. All SQL queries were Terraform templates to be promoted and tested on 4 environments before PROD.

- Reduce by 80% customer review triaging time by deploying NLP models for sentiment analysis and topic clustering

- Maintained and monitored Google Dataflow reading from multiple sources writing to GCS

- Data Volume: 100s of Billions of rows, BigQuery tables and SQL queries needed to be optimized for load and processing. Hundreds of BI datasets and 100s of BI ETLs.

skills: BigQuery, GCS, Cloud Run, Dataflow, Dataform, Vertex AI, Python, Terraform, Domo

- Developed, maintained, and published open-source Python (from scratch) and Java SDKs, ensuring high-quality, reusable components for external developers on the Symphony platform.

- Design and develop of a middleware using Kafka, Spring and MongoDB to serve external platform organizations.

- Contributed to the development and maintenance of both legacy monolith and new microservices, operating in a highly rigorous engineering environment that enforced minimum 95% testing coverage verification on every Pull Request.

- Assumed a rotating "full-time fireman" role for client support, demonstrating deep ownership and rapid problem-solving skills to ensure high availability and stability of core platform services.

skills: Python, Java 8/11, Quarkus, Spring boot, Kafka (Distributed Systems), mongoDB (NoSQL), AWS