App Store CMS & data tooling for Shell.

The challenge

Shell's internal App Store relied on manual processes for adding, updating, and tagging applications — including media uploads and label management. Each change meant operations work, and changes at scale were untenable. The team needed a proper CMS plus a programmatic data layer.

The approach

• 50+ APIs across the stack. Built using Django REST Framework and Python — covering user management, keyword-based search with bucket-wise sorting, and content operations.
• CMS for the App Store. Designed an interface that empowered content owners to add, modify, and remove application components — including media uploads and predefined label tagging — without engineering involvement.
• Performance-aware data layer. Implemented local caching of database entries to CSV files using Pandas, reducing data retrieval times by 50%+.
• Bulk data tooling. Django management commands to upload 200+ application datasets at once — enabling tag updates, workflow adjustments, and local data downloads at scale.
• Containerised deployment. Orchestrated deployments on VMs and Kubernetes clusters using Git pipelines, achieving 95%+ deployment success rate.

The outcome

Content owners could ship updates themselves, ops teams stopped being a bottleneck, and the platform handled scale that the previous manual workflow simply couldn't.

Tech stack

Engagement delivered while employed at RGP. Shell is a trademark of Shell plc; RGP is a trademark of Resources Connection, Inc. References here describe prior employment work and do not imply any current relationship between Abhishree Labs and Shell or RGP.