Moaz E.

I build data platforms and BI systems that turn messy data into reliable dashboards and automated analytics. I work daily in production BI environments, specializing in Apache Superset, secure multi-tenant dashboards, and backend data systems. My focus is building analytics platforms that are stable, scalable, and easy for teams to use. What I Do Best — Customize and extend Apache Superset (RLS, Jinja templating, global parameters, alerts) — Develop custom chart plugins and extend the platform with new visualization capabilities — Design and optimize complex SQL queries (PostgreSQL, MSSQL, Firebird) — Build backend logic in Python for data workflows and automation — Deploy systems using Docker and containerized environments — Set up CI/CD pipelines (GitHub Actions, GitLab CI) — Build internal dashboards and data tools for business teams Real-World Experience — Implemented global parameter systems inside BI environments — Built SQL Lab extensions to execute stored procedures and generate datasets — Worked with multi-database synchronization and metadata systems — Managed production deployments and infrastructure debugging — Automated workflows using Python and Bash If you need someone who understands both backend engineering and the data layer, I can help design and implement a clean, reliable solution from the start. I focus on clean architecture, long-term maintainability, and real business impact.