Projects using Amazon Redshift in LahoreProjects using Amazon Redshift in LahoreFynite is a data-driven SaaS platform designed to help businesses manage products, analyze market data, integrate external data sources, and create intelligent pricing strategies.
I worked on the backend and data engineering side of the platform, building APIs, integrations, data pipelines, pricing workflows, and the infrastructure required to process and manage large volumes of product and pricing data.
Key Features
Dynamic Pricing Engine — Create and apply pricing strategies based on stock, demand, promotions, competitors, volume, and time-based rules.
Product Management — Manage product catalogs, variations, SKUs, pricing, inventory, POS data, and dynamic pricing status.
Competitor Pricing Intelligence — Collect and compare competitor pricing data to support data-driven pricing decisions.
ETL & Data Pipelines — Ingest, transform, and synchronize data from multiple external sources.
Third-Party Integrations — Built integrations with platforms such as Shopify, Square, Toast, Clover, NCR, and other data sources.
Analytics & Dashboards — Provide revenue, net-value, price-index, competitor, and business performance insights.
Pricing Strategies — Support promotion-based, stock-based, volume, time-based, demand-based, competitor-based, and fixed-markup pricing.
Lead & Company Management — Manage leads, companies, assignments, sales tasks, and recruitment/business workflows within the broader platform.
API Integrations — Connect external services and data providers through backend APIs and integration workflows.
Scalable Data Architecture — Designed backend workflows for handling large datasets and continuously synchronized business data.
My Role
Backend Engineer / Python & Django Developer
I focused primarily on the backend architecture and data layer, including:
Designing and developing Django/REST APIs
Building data ingestion and ETL workflows
Integrating third-party platforms and APIs
Implementing dynamic pricing logic and business rules
Working with relational databases and analytical data stores
Building automated data synchronization workflows
Developing backend services for dashboards and analytics
Handling product, pricing, inventory, competitor, and integration data
Supporting cloud-based data processing and deployment
Technology
Python · Django · Django REST Framework · PostgreSQL · Amazon Redshift · AWS · Docker · REST APIs · Celery · ETL · Data Pipelines · Third-Party APIs 
