Farnam Iranpour

I am a data engineer and former data analyst with a strong focus on turning complex datasets into clear, actionable business decisions. My background combines hands-on experience in analytics with building and scaling modern data platforms (Databricks, Spark, Azure), allowing me to understand both how data is generated and how it should be used to drive real impact.

What makes me a strong advisor is my ability to bridge the gap between raw data, technical infrastructure, and business strategy. Having started from the analytics side, I understand what stakeholders actually need—clear insights, not complexity. I now apply that perspective when designing data architectures and pipelines, ensuring that data systems are not only scalable, but also practical and aligned with decision-making.

I don’t just focus on building data solutions—I focus on outcomes. I help organizations identify where data is underutilized, overly complex, or disconnected from business goals, and provide pragmatic guidance on how to turn data into measurable value.

I am particularly valuable to companies that are:

* Scaling their data infrastructure and need clarity on architecture (e.g., moving to a lakehouse or cloud platform)
* Sitting on large datasets but struggling to extract meaningful insights
* Building data-driven products or platforms (e.g., travel, energy, marketplaces)
* Transitioning from basic reporting to more advanced analytics and data-driven decision-making

I am best suited for startups and scaleups that want practical, no-nonsense guidance on how to use data effectively—combining strong technical foundations with a clear analytical mindset.