Anas Farhat

I’m an Analytics Engineer focused on turning complex data into reliable, production-grade analytics. I build scalable data solutions, embedded analytics, and high-performance dashboards with an emphasis on efficient data models and dependable delivery.

In my current role, I design and develop enterprise-grade Tableau dashboards for security analytics, including alerts, IOCs, identity intelligence, asset monitoring, and threat visibility. I deliver end-to-end analytics workflows across data extraction, transformation, modeling, and visualization.

I integrate multi-sourced data models using PostgreSQL, MongoDB, Neo4j, and Elasticsearch, and use Tableau Hyper API for efficient extraction and integration into Tableau data sources. I also engineer custom Web Data Connectors (WDC) to bring Neo4j and Elasticsearch data into Tableau with secure, controlled access without third-party dependencies.

I manage Tableau Server—publishing dashboards, structuring projects, and enforcing user permissions—while implementing datasource filters for secure multi-tenant environments. I optimize dashboard performance through extract strategies, efficient filtering, and data model tuning, automate reporting workflows with scheduled PDF delivery, and support analytics pipelines using Python and Linux.