I design and deliver business-ready dashboards that go beyond visuals to support real decision-making. Every project is built on a clean, scalable data model with well-defined KPIs, ensuring accuracy, performance, and long-term usability.
My approach combines strong data engineering fundamentals with clear data storytelling, so stakeholders can quickly understand trends, measure performance, and take action. I focus on optimizing dashboards for readability, speed, and practical use—not experimentation.
With hands-on experience in Microsoft Fabric, Azure, Databricks, Power BI, and Tableau, I can handle the full journey from raw data to executive-ready insights. The result is a reliable analytics solution that grows with your data and continues to deliver value well after the initial delivery.
Key strengths:
Cloud data engineering on Azure & Microsoft Fabric
Databricks & PySpark data processing
Advanced BI dashboards and semantic modeling
Performance optimization & automated reporting
I’m particularly interested in projects where data engineering and business intelligence intersect to deliver measurable impact.
Data Engineering Tools
Cloud & Data Platforms
Data Ingestion & ETL / ELT
Azure Data Factory Pipelines
Microsoft Fabric Dataflows Gen2
Tableau Prep
Power Query
Custom ETL using Python & SQL
Big Data & Distributed Processing
Databricks (PySpark)
Apache Spark
Delta Lake
Lakehouse Architecture
Data Modeling & Semantic Layer
BI, Analytics & Visualization
Power BI (DAX, RLS, Performance Optimization)
Tableau (LOD expressions, Parameters)
Looker Studio
Excel (Advanced Analytics)
SAP Analytics Cloud
Data Quality, Transformation & Analytics
Advanced Analytics & ML Integration
Databases