FeaturedE-commerce Order & Revenue Analytics
An ETL pipeline and Power BI reporting layer that models the order-fulfillment lifecycle for an online retailer, from vendor intake through QC, purchasing, and shelving.
- SQL
- MySQL
- Python
- Power BI
Data Analytics Engineer · Business Intelligence
I design and build reliable analytics — from warehouse modeling and data pipelines to executive dashboards — with SQL, Python, and modern BI. Portfolio, technical blog, and knowledge hub.

Moniruzzaman Nayon
Senior Data Analyst / Assistant Manager
Skills
From raw ingestion to the last mile of visualization — depth where it matters most.
Portfolio
A selection of analytics engineering and BI work.
FeaturedAn ETL pipeline and Power BI reporting layer that models the order-fulfillment lifecycle for an online retailer, from vendor intake through QC, purchasing, and shelving.
FeaturedA Power BI dashboard that turns raw retail transactions into a clear view of top-performing countries, months, brands, and customer segments.
FeaturedA Python-collected dataset of laptop listings turned into a Power BI dashboard comparing brand price ranges and budget segments across the Bangladesh market.
Blog
Practical, example-driven writing on the modern data stack.
Most wasted analyst effort comes from the gap between the request someone makes and the decision they are trying to make. Four questions that close it, the short brief that converts your assumptions into theirs, and how to handle the answers you will actually get.
The same formula written two ways behaves completely differently. Row context versus filter context, why averaging a margin column is wrong, the memory cost of stored columns, and a one-sentence rule for choosing correctly.
When a sales rep changes team, should last quarter's numbers move with them? That question decides your dimension design. Type 1 versus Type 2 in plain terms, the join mistake that silently loses rows, and how dbt snapshots handle it.
Experience
Selected roles across analytics engineering and business intelligence.
Leading the data analytics function — from data pipelines to decision-ready models and reporting.
Led analysis and reporting across product, growth, and operations.
Turned operational and customer data into actionable business insight.
Credentials
Verified credentials across the data and cloud ecosystem.
Coursera
HackerRank
DataCamp
Newsletter
Occasional, practical data analytics writing. No spam, unsubscribe anytime.
Have a project, a dashboard, or a data problem in mind? I would love to hear about it.