Mohammed H.

Google Cloud certified Data Engineer with 4+ years building ETL/ELT pipelines, BigQuery data warehouses, and real-time streaming analytics for banking, fintech, and SaaS teams. I help companies turn slow, expensive, messy data platforms into fast, cost-efficient systems that leadership actually trusts whether that means a full data warehouse build, a streaming pipeline, a cloud migration, or a BigQuery cost audit. RESULTS I'VE DELIVERED • Cut a client's monthly GCP spend by 25% ($10K+/year) by redesigning BigQuery storage models and queries • Improved SQL and ETL performance by 30%+, speeding up executive dashboards for wealth managers • Built TB-scale streaming pipelines (Dataflow, Pub/Sub, Apache Beam) running at 99.9% availability • Designed a dbt-based warehouse on PostgreSQL/AWS with medallion architecture and reusable data marts for a national bank • Shipped 30+ Looker / Looker Studio dashboards turning raw logs into executive KPIs WHAT I CAN BUILD FOR YOU • Data pipelines & ETL/ELT: Dataflow, Apache Beam, Airflow (Cloud Composer), Data Fusion, Fivetran, Kafka • Data warehousing & modeling: BigQuery, dbt, PostgreSQL, SQL Server, MySQL, data marts, medallion architecture • Cloud architecture: GCP (primary) and AWS cost optimization, migrations, governance • Backend & APIs: Python (Pandas, Polars, FastAPI), Django, Java, SQL • BI & analytics: Looker, Looker Studio, Tableau, KPI and stakeholder reporting CREDENTIALS • Google Cloud Professional Data Engineer • Google Cloud Professional Cloud Architect • Google Cloud Professional Cloud Database Engineer • Currently completing an M.S. in Computer Science (American University of Beirut); university instructor in Python, Java & SQL I explain complex systems clearly, in plain business terms HOW I WORK I start with the bottleneck costing you the most a runaway BigQuery bill, a dashboard that takes minutes to load, a pipeline that breaks weekly deliver a quick, measurable win, then build out the architecture around it. Send an invite or message me with a short description of your data stack, and I'll tell you exactly where it's leaking time and money.