Full-stack App
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Market Intelligence Reporting Platform
Automated reporting platform with background jobs, PostgreSQL, BullMQ, and AWS deployment.
- Timeline
- 2025 - 2026
- Domain
- Financial analytics domain
- Team
- 4 people
Overview
Built a platform that collects and analyzes financial market data from social platforms, then generates automated reports with indicators, charts, tables, and narrative insights. Designed background processing pipelines and deployed containerized services on AWS.
Challenges
- Coordinating data collection, analysis, and report generation without blocking user-facing APIs.
- Making generated reports reliable when upstream social and market data changes.
- Deploying containerized services with practical AWS infrastructure ownership.
Solutions
- Designed BullMQ pipelines for asynchronous collection and report generation.
- Stored normalized market data in PostgreSQL and cached repeat-heavy workloads with Redis.
- Deployed services using AWS EC2, ECS, IAM, and Docker.
Process
1
Pipeline Design
Defined job boundaries for collection, analysis, and report rendering.
2 weeks
2
Implementation
Built APIs, workers, data models, and report views.
Ongoing
3
Deployment
Containerized and deployed services to AWS.
Continuous