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I consolidated 13 legacy SQL queries and data pipelines into 2 streamlined workflows, reducing runtime by 60% while making the reporting process easier to maintain and support.
The work involved reviewing existing logic, standardizing source data, simplifying transformations, and rebuilding the process around clearer, reusable SQL. The code shown is a sanitized example created for this portfolio and does not contain client data or proprietary code.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Agentic AI Order-to-Cash Pipeline for E-Commerce
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Trigger (Shopify): Captures incoming e-commerce orders instantly upon successful customer payment.
Data Enrichment (Stripe): Retrieves detailed payment gateway metadata, customer risk scores, and transaction status for enhanced security validation.
AI Reasoning Engine (OpenAI): Acts as the cognitive core to analyze unstructured order data, dynamically categorize products into appropriate accounting ledger codes, and flag anomalies.
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'Prompt configuration hidden for client confidentiality
Amazing work
Enterprise Lead Lifecycle & AI Qualification Architecture
Project Overview
A production-grade workflow blueprint designed to automate, filter, and qualify inbound B2B leads seamlessly. This architecture moves beyond basic form-to-spreadsheet integrations, demonstrating a multi-tiered orchestration that combines data verification, third-party enrichment, and qualitative AI analysis before routing prospects to the appropriate internal teams.
Workflow Architecture & Logic
Instant Capture & Hygiene: Inbound submissions trigger immediate data validation to filter out disposable emails, spam, and incomplete records before any downstream computing or API costs are incurred.
Automated Data Enrichment: Validated records are cross-referenced with external firmographic databases to capture essential operational context regarding company scale and target industry profiles.
Conditional Multi-Path Routing: Workflows branch dynamically based on specific business rules, ensuring high-value prospects, qualified leads, and standard inquiries follow entirely separate operational tracks.
Qualitative AI Intent Analysis: Leverages integrated language models to evaluate form intent and contextual urgency, assigning dynamic qualification markers rather than relying solely on rigid binary filters.
System Synchronization & Alerts: Automatically provisions records within enterprise CRM environments, triggers task assignments, and dispatches instant team notifications with built-in error mitigation logic.
Impact & Application
Built for organizations looking to eliminate manual lead-sorting bottlenecks, reduce response latency, and ensure that sales teams focus exclusively on high-intent opportunities backed by enriched, pre-vetted data context.
