"Building production-grade data infrastructure for enterprise operations"
Built a production-grade data platform for a multi-tenant SaaS application serving manufacturing and compliance operations. The platform handles real-time data processing, ERP integrations, and analytics for enterprise customers.
Designed the complete data layer from schema architecture through ETL pipelines to external system integrations—ensuring data flows reliably across the entire stack.
Designed and implemented a comprehensive multi-tenant PostgreSQL schema with Row-Level Security enforcing tenant isolation at the database level.
Database Schema (~300 migrations):
├── Organizations (multi-tenancy root)
├── Inventory System
│ ├── stock_items, stock_levels, stock_lots
│ ├── stock_locations, stock_transactions
│ ├── stock_reservations, stock_cost_layers
│ └── stock_serials
├── Manufacturing
│ ├── work_orders, work_centers, routings
│ ├── boms (bills of materials)
│ └── mrp_planning
├── Supply Chain
│ ├── customers, suppliers
│ ├── sales_orders, purchase_orders
│ └── supplier_evaluations
└── Compliance
├── documents, document_versions
├── training_records, competencies
└── risks, risk_assessmentsARCHITECTURAL PATTERNS
═══════════════════════════════════════════════════════════════
Row-Level Security (RLS)
├── All tables enforce tenant isolation at DB level
├── Policies attached to organization_id column
└── Zero application-level tenant filtering bugs possible
Audit Trails
├── created_by, updated_by on all transactional tables
├── created_at, updated_at with automatic timestamps
└── Full history for compliance requirements
Soft Deletes
├── deleted_at, deleted_by columns
├── Data preservation for compliance audits
└── Recoverable deletes without data loss
Strategic Indexing
├── organization_id on every table (tenant queries)
├── Foreign key indexes for join performance
└── Composite indexes for common query patterns
═══════════════════════════════════════════════════════════════Designed and implemented 7 production workers for async data processing using BullMQ with Redis-backed job queues.
┌─────────────────────────────────────────────────────────────────┐
│ Job Queue Architecture │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────┐ ┌─────────┐ ┌──────────────────────┐ │
│ │ API │───▶│ Redis │───▶│ BullMQ Workers │ │
│ │ Request │ │ Queue │ │ │ │
│ └─────────┘ └─────────┘ │ ├─ Document Proc. │ │
│ │ ├─ Gap Analysis │ │
│ │ ├─ RFQ Extraction │ │
│ │ ├─ Competency Gap │ │
│ │ ├─ Email Notifs │ │
│ │ ├─ Compliance Scan │ │
│ │ └─ Trial Lifecycle │ │
│ └──────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘┌─────────────────────┬─────────────────────────┬────────────────────────────┐
│ Worker │ Queue │ Function │
├─────────────────────┼─────────────────────────┼────────────────────────────┤
│ Document Processing │ document-queue │ OCR, classification, │
│ │ │ entity extraction │
├─────────────────────┼─────────────────────────┼────────────────────────────┤
│ Gap Analysis │ gap-analysis-queue │ Compliance assessment │
│ │ │ via AI orchestration │
├─────────────────────┼─────────────────────────┼────────────────────────────┤
│ RFQ Processor │ rfq-queue │ Quote extraction, │
│ │ │ product matching │
├─────────────────────┼─────────────────────────┼────────────────────────────┤
│ Competency Gap │ competency-gap-queue │ Skills gap detection, │
│ │ │ auto-CAPA generation │
├─────────────────────┼─────────────────────────┼────────────────────────────┤
│ Email Notifications │ email-queue │ Queue-based email │
│ │ │ dispatch │
├─────────────────────┼─────────────────────────┼────────────────────────────┤
│ Compliance Scanner │ compliance-notif-queue │ Overdue item detection │
│ │ │ and alerting │
├─────────────────────┼─────────────────────────┼────────────────────────────┤
│ Trial Lifecycle │ trial-queue │ Subscription management │
│ │ │ and expiration │
└─────────────────────┴─────────────────────────┴────────────────────────────┘
FEATURES:
├── Real-time progress tracking via Server-Sent Events (SSE)
├── Job retry logic with exponential backoff
├── Dead letter queues for failed jobs
└── Job prioritization and rate limitingBuilt a robust import system supporting 10 entity types with AI-assisted column mapping and comprehensive validation.
┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐
│ Upload │───▶│ Parse │───▶│ Validate │───▶│ Execute │
│ (XLSX/CSV) │ │ (SheetJS) │ │ (Zod) │ │ (Upsert) │
└────────────┘ └────────────┘ └────────────┘ └────────────┘
│
▼
┌────────────┐
│ AI Analyze │
│ (OpenAI) │
│ │
│ Auto-map │
│ columns to │
│ schema │
└────────────┘
SUPPORTED ENTITY TYPES:
├── Products / Stock Items
├── Customers & Suppliers
├── Sales Orders & Purchase Orders
├── Work Orders
├── Warehouse Locations
├── Opening Balances
├── Manufacturing Routings
├── Bills of Materials (BOMs)
├── Training Records
└── Equipment / CalibrationsBuilt a pluggable integration framework supporting multiple ERP systems with bidirectional sync and conflict resolution.
Integration Framework
├── core/
│ ├── sync-engine.ts # Main orchestrator
│ ├── base-integration.ts # Abstract base class
│ ├── provider-registry.ts # Provider management
│ ├── conflict-resolver.ts # Conflict resolution
│ └── entity-mapper.ts # Field mapping engine
└── providers/
├── quickbooks/ # OAuth 2.0, REST API
└── odoo/ # XML-RPC protocol
───────────────────────────────────────────────────────────────
QUICKBOOKS INTEGRATION
├── Auth: OAuth 2.0 with automatic token refresh
├── Entities: Customers, Suppliers, Products
├── Sync: Bidirectional push/pull
└── API: Intuit SDK
ODOO INTEGRATION
├── Protocol: XML-RPC via odoo-xmlrpc
├── Entities: 12 entity types
└── Sync: Dependency-aware orderingSYNC EXECUTION ORDER
═══════════════════════════════════════════════════════════════
1. UOMs ──▶ Base unit definitions
2. Work Centers ──▶ Manufacturing capacity
3. Stock Locations ──▶ Warehouse structure
4. Customers & Suppliers──▶ Business partners
5. Stock Items ──▶ Products (depends on UOMs)
6. BOMs ──▶ Bills of materials (depends on items)
7. Stock Lots ──▶ Lot tracking (depends on items)
8. Stock Levels ──▶ Inventory quantities (pull-only)
9. Sales Orders ──▶ Customer orders
10. Purchase Orders ──▶ Supplier orders
11. Work Orders ──▶ Manufacturing jobs
SYNC ENGINE FEATURES:
├── Inline sync for small datasets (<500 records)
├── Queued async sync for larger datasets
├── Conflict resolution (last-write-wins, manual review)
├── Field mapping with transformations
└── Error handling with retry logic
═══════════════════════════════════════════════════════════════Built specialized services for real-time analytics and KPI calculation across inventory, manufacturing, and compliance domains.
Stock levels, movements, valuations with FIFO, LIFO, and weighted average costing methods.
Material requirements planning with demand forecasting and production scheduling.
Available-to-promise calculations considering reservations, allocations, and incoming stock.
Auto-calculates ~22 operational metrics across supplier, quality, compliance, and customer dimensions.
Weighted compliance health score (0-100) with trend analysis and threshold-based alerting.
Built AI-powered data pipelines for document intelligence and automated compliance assessment.
DOCUMENT PROCESSING FLOW
═══════════════════════════════════════════════════════════════
┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐
│ Upload │───▶│ Vision │───▶│ Classify │───▶│ Extract │
│ (PDF/ │ │ API │ │ (GPT-4) │ │ Entities │
│ IMG) │ │ (OCR) │ │ │ │ │
└──────────┘ └──────────┘ └──────────┘ └──────────┘
│ │
▼ ▼
┌──────────┐ ┌──────────┐
│ Document │ │ Match │
│ Types: │ │ to ERP │
│ SOP,Form │ │ Records │
│ Policy...│ │ (Fuzzy) │
└──────────┘ └──────────┘
│
▼
┌──────────┐
│ Generate │
│ Clause │
│Embeddings│
└──────────┘
───────────────────────────────────────────────────────────────
GAP ANALYSIS PIPELINE
Organization Requirements AI Findings Report
Data ───▶ Mapping ───▶ Analysis ───▶ List ───▶ Gen
│ │
│ │
▼ ▼
Collect all Multi-step assessment
compliance with progress events
evidence via SSE streaming
═══════════════════════════════════════════════════════════════Scaled schema evolution across production deployments with comprehensive migration testing and rollback procedures.
Built reliable job queue system with retry logic, dead letter queues, and real-time progress tracking via SSE.
Designed database-level tenant isolation ensuring zero cross-tenant data leakage by design.
Implemented bidirectional sync with QuickBooks and Odoo including dependency-aware execution ordering.
Built OCR, classification, and entity extraction system with fuzzy matching to existing ERP records.
Designing schemas for SaaS with proper isolation using RLS, strategic indexing, and audit trail patterns.
Building production job queues with BullMQ including retry logic, dead letters, and progress streaming.
Integrating with OAuth 2.0, XML-RPC, and REST APIs with proper error handling and token refresh.
Using LLMs for document classification, entity extraction, and intelligent column mapping.