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.

Five practical DAX patterns for Power BI: measures vs. calculated columns, year-to-date and year-over-year time intelligence, running totals, and dynamic ranking with RANKX.

What dbt actually does and why teams adopt it: the staging, intermediate, and marts layering pattern, a worked model, and how tests and docs turn raw SQL into a trustworthy product.

SQL window functions explained with runnable examples: running totals, ranking with row_number, rank, and dense_rank, and period-over-period comparisons with lag and lead.
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.