Top expert inData Engineering and Analytics Technologies
Daniel Gaspar is a seasoned platform and infrastructure leader with 12+ years building and operating distributed systems across finance, gaming, government and SaaS environments. As Team Lead for Platform & Infrastructure at Preset he architects multi-cloud Kubernetes platforms, drives FedRAMP-aligned compliance, and balances long-term scalability with pragmatic delivery. A prolific open-source maintainer and author, he created Flask-AppBuilder, contributes to Apache Superset, and even implemented an Elasticsearch DBAPI and SQLAlchemy dialect used to integrate Superset as a SaaS. His background spans hands-on DevOps, CI/CD, observability, and cost optimization, and he’s known for unblocking teams through deep system knowledge and mentoring. He also authored Mastering Flask Web Development and has spoken about rearchitecting Superset from MVC to SPA, highlighting a rare combination of product-minded engineering and developer tool craftsmanship. Based in Oeiras, Portugal, he blends infrastructure reliability with active OSS stewardship that influences widely used data visualization tooling.
12 years of coding experience
29 years of employment as a software developer
Administration and Implementation, Altitude Uci, Administration and Implementation, Altitude Uci at Altitude
Administration, IBM Tivoli Storage Manager, Administration, IBM Tivoli Storage Manager at Distrilogie
Engineer’s Degree, Computer Science Engineering, Engineer’s Degree, Computer Science Engineering at Universidade Nova de Lisboa
Swift Implementation and Administration, Swift Implementation and Administration at Swift
Administration, AIX, Administration, AIX at Datinfor - Formação
Fundamentals, Connect Direct & GIS, Fundamentals, Connect Direct & GIS at ISI
Advanced System Administration for the Solaris 10 Operating System (SA 202 - S10), Advanced System Administration for the Solaris 10 Operating System (SA 202 - S10) at GFI
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
Role in this project:
Back-end Developer
Contributions:46 releases, 254 reviews, 3721 commits in 9 years 3 months
Contributions summary:Daniel's commits primarily focus on refactoring and reorganizing list widget blocks in the Flask-AppBuilder framework. They made code changes to HTML templates and Python files that are related to enhancing the organization and extendability of the list widgets. Additionally, the user contributed to the quickhowto2 example, and implemented functionality for adding custom filter to search. This suggests a focus on improving the framework's user interface and backend features.
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:
Back-end Developer
Contributions:6 releases, 1261 reviews, 427 commits in 3 years 11 months
Contributions summary:Daniel contributed to various aspects of the Apache Superset project, mainly focused on improving and maintaining the codebase. Their contributions include fixing typos, bumping dependencies (such as Flask-AppBuilder), and addressing issues related to data visualization, specifically in chart and dashboard functionalities. They also made improvements to annotation validation and refined database-related interactions. Furthermore, the user addressed a number of bug fixes and improvements, indicating a strong focus on backend system.
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