Fynite is a data-driven SaaS

Fynite 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