KPI Reporting Suite for Finance
Delivered Power BI dashboards that track financial KPIs and align with regulatory reporting needs.
View projectData Engineer
ETL pipelines and KPI reporting you can trust.
I build end-to-end data pipelines in Python, PySpark, and SQL on Databricks, then deliver Power BI dashboards for finance and leadership teams.
Databricks + Power BI Core stack
Python + SQL Primary languages
ETL + KPI reporting Focus area
Now building
Reporting pipelines that stay accurate, reusable, and easy to evolve.
Current focus
ETL pipelines and KPI reporting in financeFavorite stack
Python + PySpark + DatabricksAvailable for
ETL pipeline design and dashboard delivery Highlights
Focused on outcomes, not just pipelines
Data engineering should unlock confident decisions. Here's where I spend the most energy.
End-to-end ETL pipelines
Design, build, and maintain ETL workflows in Python, PySpark, and SQL on Databricks.
Financial KPI reporting
Power BI dashboards that align with finance, management, and regulatory reporting needs.
Stakeholder-led delivery
Own requirements, deployment, and monitoring to keep reporting accurate and trusted.
Portfolio
Featured projects
A selection of ETL pipelines, KPI reporting, and analytics delivery.
Financial ETL Modernization on Databricks
Refactored legacy financial ETL into modular PySpark pipelines and SQL models for faster, cleaner reporting.
View project Latest writing
Notes from the field
Playbooks, frameworks, and lessons learned while shipping data platforms.
Building Reliable ETL in Databricks
A practical playbook + checklist for keeping Python and PySpark pipelines stable as reporting needs evolve.
Read postKPI Alignment with Stakeholders
How to translate business questions into stable KPI definitions, semantic models, and dashboards that stay trusted over time.
Read postPower BI Dashboard QA Habits
Small quality checks that prevent last-minute surprises in reporting decks.
Read post Work together
Let's build your next reporting pipeline
Need ETL help, dashboard delivery, or a data refresh? Let's align on the next steps.
Get in touch