Build Internal Data Platform & Automated Ingestion Engine

Project Background Currently, our operational data—including payroll, invoices, fraud tracking, and employee history—is managed manually across scattered Google Drives, Sheets, and XLSX/TSV files. To eliminate human error and accelerate data reconciliation, we are initiating the development of AXIS (Automated Analytics & Information System), a centralized internal data platform to serve as our single source of truth. Scope of Work (MVP Phase) We are looking for an experienced Full-Stack Developer to build our MVP from scratch. The scope of work includes: 1. System Design & Architecture: Designing technical systems including database, API layer, UI, and storage. 2. Data Ingestion Module: Developing multi-format file upload (XLSX, CSV, TSV) and Google Sheets integration via URL/OAuth. 3. Mapping & Validation Engine: Creating a user interface to map source columns to standard AXIS fields with automatic data validation rules. 4. Data Storage Layer: Setting up a centralized relational database with partition support per operational period. 5. Schema Management UI: Building an interface for data engineers to create, edit, and manage database tables dynamically. 6. Query Interface UI: A form-based filtering UI for non-technical business users to easily query and export data to XLSX/CSV. 7. RBAC & Security: Implementing Role-Based Access Control across 4 primary user roles. 8. Audit Trail & Logging: Setting up an end-to-end user activity log and a dedicated audit dashboard. Preferred Tech Stack We highly recommend the following stack, though we are open to well-justified alternative frameworks: - Frontend: Vue.Js. - Backend: Golang or Spring Boot - Database: PostgreSQL (supporting table partitioning and JSONB). Project Timeline & Requirements - Target Duration: Maximum of 3 months from kick-off to production deployment. - Language: The application interface will be delivered primarily in Indonesian. - Compliance: The selected vendor/freelancer must sign an NDA and a data processing agreement. If your team has extensive experience building scalable internal business tools, automated data pipelines, or ingestion engines, please apply with your relevant portfolio and a brief structural overview of your proposed approach.