Wissem A.

Google Cloud certified Data Engineer. I build BigQuery warehouses, dbt models and Airflow pipelines that turn app and SaaS data into reliable KPIs and forecasts. Recent: pipelines on a ~2 PB/day retail platform; energy forecasting in production. I work with startups, scale-ups and enterprise teams that need one engineer to own the data stack from scoping to production. Clients in Denmark, Spain, Canada and Australia: analytics stacks in gaming, real estate and fintech, and a GCP system forecasting electricity losses in Brazil and Chile for an energy utility. WHAT I BUILD - BigQuery data warehouses: your databases, APIs and SaaS tools loaded on a schedule, modeled in dbt, orchestrated with Airflow (Cloud Composer), with Looker Studio or Power BI on top. - Product analytics from Firestore/Firebase: event sync to BigQuery, plus retention, engagement, segmentation and monetization models. - API and SaaS integrations: finance and operations data (e.g. QuickBooks, Clio) normalized and deduplicated into PostgreSQL or BigQuery. - Pipelines you can trust: data quality checks, deduplication, monitoring and failure handling, plus BigQuery query and cost optimization. - Forecasting in production: ingestion of history and external drivers, scenario generation, automated training, validation, versioning and deployment, with forecasts published to BigQuery. - GCP foundations for data products: Cloud Run services, Pub/Sub event flows, Cloud SQL (PostgreSQL), FastAPI, access control and monitoring. HOW I WORK I scope the problem with you, propose an architecture and a milestone plan, build in increments you can check, deploy to production, and hand over to your team with documentation. STACK Google Cloud: BigQuery, Cloud Composer (Airflow), Cloud Run, Pub/Sub, Cloud SQL, Cloud Storage, Firestore Data: Python, SQL, dbt, Dataform, PySpark, Kafka Databases: PostgreSQL, MongoDB AWS: Lambda, Step Functions, DynamoDB, OpenSearch Apps and ops: FastAPI, Docker, Git BI: Looker, Looker Studio, Power BI ML: scikit-learn, PyTorch BACKGROUND Research Master's in industrial engineering (machine learning and time-series forecasting), Polytechnique Montréal. Engineering degree in computer science, data science track (ENSI). Google Cloud Professional Data Engineer. I work in English and French; Arabic is my native language. NEXT STEP Send me what you have (sources, current stack, and the report or forecast you need). I'll reply with a proposed architecture, a first milestone and an estimate.