
Frank Kovacs
I’m Frank – a data engineer and applied AI builder focused on making complex systems reliable, scalable and genuinely useful. I’ve architected high-volume Spark and Databricks pipelines, designed cloud-native platforms across AWS and Azure, and delivered millions in modeled savings for enterprise data teams. Recently, my work has centered on the emerging stack around GenAI and Model Context Protocol (MCP), where I explore how LLMs reshape workflows, data engineering patterns, and real-world decision systems. If you’re interested in robust data platforms, production AI, or the future of intelligent tooling, you’re in the right place.
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MCP Talk written for the NYC HackR Group
I implemented a custom ETL framework for use within a databricks execution engine for media data.

I imeplemented and architected a proof of concept migration to Fabric.
Friday, November 1, 2024

I mapped and documented a multi-million dollar organization’s data for presentation to stakeholders

As a senior data engineer at Axis I continued to expand my responsibilities and contributions to both Axis and clients.
Friday, November 1, 2024

I created and implemented an end-to-end inventory analysis tool to quantify ordering irregularities
Friday, November 1, 2024

I architected and created a fully metadata-driven architecture that both saturates available compute resources and orchestates jobs and bundles
Friday, November 1, 2024

I architected and implemented a Python package that managed API calls within an Airflow orchestrator.

I designed and implemented an ETL job in R. This process categorized sanctions by their target area, levying body and severity.
