Md A.

I build e-commerce data stacks that pay for themselves. One model I built caught a $35K 3PL overcharge; another saved $10K a month by flagging incorrect carrier fees. dbt, BigQuery, Looker and Power BI. For two years I was the analytics engineer at Maven Lane, a US e-commerce brand, with full ownership of the data stack. Nothing existed when I started. I built it end to end: Daton pulling 20+ sources into BigQuery, dbt for modeling, Looker for reporting. Later I moved the company off Power BI and onto one governed Looker layer. What I can do for you: • Build or clean up your warehouse. BigQuery + dbt with tests, source freshness checks, docs and CI, instead of scheduled queries nobody understands. • Cut your BigQuery bill. I reduced warehouse compute costs by 35% with partitioning, clustering and incremental models. • Define metrics people trust. I owned the 30+ KPI layer behind the weekly business review for the C-suite and shareholders: revenue, margin, ad efficiency, conversion and inventory health. • Check what your 3PL and carriers bill you. Shipping, storage and pick & pack cost models, used by Finance for month-end close. • Get ahead of inventory problems. Weeks of supply by SKU tier, lost sales from stockouts, landed cost. I improved Q4 forecast accuracy by 8% and cut stockouts by 22%. • Dashboards in Looker (LookML) or Power BI that people actually open on Monday morning. Tools: dbt (Cloud & Core), SQL, Jinja, BigQuery / GCP, Looker & LookML, Power BI, DAX, Power Query, Excel, Daton, Fivetran, Git, CI for dbt. Data from Shopify, GA4, ad platforms, 3PL and carrier invoices. How I work: the dashboard is rarely the hard part. Agreeing on what a number means, and making it reconcile with Finance, is. That is where I start. You get a documented model and clear metric definitions your team can maintain without me. Available 30+ hrs/week, with overlap for US or EU hours. If something looks wrong in the reports you already have, send me a screenshot or a sample query. I will tell you what I think is going on before you hire anyone.