I build pipelines, infrastructure, and backend data systems that make analytics reliable at scale.
For 4+ years I've been the only data person at my company. Not just analyzing data, but doing the actual work: migrating the entire database from MS SQL Server to PostgreSQL, managing CRM and payments data, writing SQL and Python scripts for analytics, ad-hoc requests, automation, and scheduling jobs.
Building systems is genuinely what I enjoy. Pipelines, infrastructure, backend data systems that run reliably without anyone babysitting them. That's the work I want to keep doing, and Data Engineering is the role that matches it.
What I've shipped at work:
- Led end-to-end migration of production database from MS SQL Server to PostgreSQL, including schema conversion, data validation, and cutover planning
- Cut manual reporting effort by 30-40% through Python automation
- Contributed to PKR 89M+ revenue growth and 11% margin improvement
- Built data pipelines and dashboards used by leadership for revenue and margin decisions
| Layer | Tools |
|---|---|
| Ingestion | Python, dlt, Airbyte |
| Transformation | dbt, SQL |
| Orchestration | Airflow |
| Warehousing | Snowflake, PostgreSQL, Redshift |
| Big Data | Databricks, Apache Spark (PySpark) |
| Infrastructure | Docker, GitHub Actions CI/CD, AWS (S3, Glue, Athena) |
| Language | Python, FastAPI |
| Analytics | Power BI, Metabase, Pandas |