Data Analyst → Analytics Engineering
Building reliable pipelines, scalable data models, and the infrastructure that makes analytics trustworthy.
4+ years working with sales, CRM, and supply chain data. I understand what breaks pipelines, what makes dashboards unreliable, and what actually drives decisions for business teams.
Lately, my work has been focused on:
- dbt models
- ELT pipelines
- Airflow workflows
- data quality checks
- Snowflake data warehousing
— building analytics that people can actually trust.
What I've shipped at work:
- Reduced manual reporting by 30–40%
- Built data quality frameworks that improved forecasting accuracy across planning teams
- Developed data systems used by leadership, contributing to:
- PKR 89M+ revenue growth
- 11% margin improvement
| Layer | Tools |
|---|---|
| Transformation | dbt, SQL |
| Orchestration | Airflow |
| Warehouse | Snowflake, PostgreSQL |
| Language | Python, FastAPI |
| Infra | Docker, Git, Linux |
| Analytics | Power BI, Looker, Excel, Pandas |
Concepts & Practices
ELT / ETL Pipelines · Dimensional Modeling · Data Quality Frameworks · Pipeline Orchestration · Modular Data Modeling · Analytics Engineering
End-to-end analytics engineering projects covering pipeline design, data modeling, orchestration, and dashboard delivery.
| # | Project | Stack |
|---|---|---|
| 1 | dbt-airflow-data-pipeline | dbt · Airflow · Metabase · Postgres · FastAPI |
| 2 | analytics-pipeline-fastapi-dbt | dbt · Streamlit · Postgres · FastAPI |
| 3 | python-elt-demo | Python · Pandas · Postgres · SQLAlchemy · Docker |
If you're building a modern data stack, hiring for AE roles, or working on supply chain and revenue analytics — I'd love to connect.