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This project is an end-to-end data engineering ETL pipeline that ingests retail datasets from Kaggle, validates and cleans them, performs feature engineering, and loads structured data into a SQL Server database. It also generates a data quality observability layer for tracking dataset health across runs.
The pipeline is designed to simulate real-world production workflows used in retail analytics and data engineering systems.
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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Recently worked on BES Vinyl - a large-scale ecommerce infrastructure project built around Shopify, FileMaker Server, and AWS to support a rapidly growing online vinyl record business.
The project involved restoring and stabilizing a mission-critical FileMaker PIM system, rebuilding backend workflows, and implementing automated API-driven synchronization between Shopify and the internal product database for inventory, pricing, metadata, supplier imports, and catalog management.
Beyond the storefront experience, the real focus was operational scalability - reducing manual processes, improving data reliability, and creating a centralized commerce ecosystem capable of handling large product volumes efficiently.
Projects like this are where ecommerce, automation, and systems architecture come together to create measurable business impact. 🚀
Everything feels balanced, refined, and professionally designed 💯
Building smarter backend systems for businesses using GoHighLevel.
Recently worked on setting up workflow automations, pipeline tracking, lead management, and business growth systems designed to help businesses operate more efficiently behind the scenes.
I’m becoming increasingly interested in the intersection between:
• CRM systems
• automations
• customer journeys
• AI workflows
• modern frontend experiences
A lot of businesses focus only on the website frontend, but the real growth often happens through the backend systems powering follow-ups, lead nurturing, and operations.
Currently exploring more advanced workflows involving automations, onboarding systems, customer segmentation, and AI-assisted processes.Just built this for a cleaning business
I’ve developed Fin-AI Agent to transform how finance teams operate. Fin-AI Agent streamlines complex reconciliation and visualizes cash flow patterns to deliver actionable financial insights with surgical precision. This Python-based agent leverages LangGraph to eliminate human error and automate end-to-end balance verification.
✅ 50% Efficiency Gain: Reduces daily manual reconciliation workload by at least 50% for FP&A teams.
✅ Surgical Precision: Eliminates human error in balance reporting using Gemini API and LangGraph.
✅ Executive Insights: Transforms raw data into visual dashboards for instant, data-driven leadership decisions.
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