Backend & Referral System Build

@basant807

Hello, Referral systems look simple until real money is involved — then edge cases multiply fast. Duplicate conversions, self-referrals, reward reversals, partial payouts. The PostgreSQL schema will be clean and forward-thinking — users, referrals, conversion events, reward ledger — normalised so tracking links and status workflows slot in later without touching existing tables. Triggers handle reward eligibility checks at the database level, not just the application layer, so no payout fires without a verified conversion event. The API surface is minimal and honest — record a referral, confirm the qualifying event, calculate and post the cash reward. Each endpoint documented, each rule unit-tested with passing and failing cases so you see exactly where the guardrails are. You'll receive the full DDL, seed scripts, a readable ER diagram, integration tests, and a Docker Compose setup so your first command is up and running, not debugging a local environment. No reward fires twice. No self-referral slips through. No payout without a verified event. That's the contract we write into the schema itself. Regards, Basant

@bridgestonetech1

Hi There, We are BRIDGESTONE TECHNOLOGY with 10+ years of experience in Web & App Development. We have completed 20+ Freelancer projects with 5-star ratings and maintain a 100% success rate. Proposed Stack:- PostgreSQL, Node.js, REST APIs, Referral System Logic & Scalable Backend Architecture We have experience developing scalable backend systems with PostgreSQL database design, API development, referral and reward logic, stored procedures, trigger-based workflows, ER diagram planning, unit testing, and clean maintainable architecture focused on performance, scalability, and future feature expansion. Thank you for considering my proposal ! Waiting for a positive response. Best Regards, BRIDGESTONE TECHNOLOGY

@Ritesh11gupta

Building a solid PostgreSQL schema from scratch sounds like a great challenge! I’ve worked on similar backend projects using Python and can create a clean and scalable solution for you. What specific features are you envisioning for this system?

@rishi9343

As a seasoned professional with more than 8 years of experience in mobile app development, I can assure you that I possess the expertise necessary to successfully execute your project. My skills range from website design to Python and, crucially, my extensive knowledge of PostgreSQL which will enable me to create a clean, efficient database schema that suits your present needs while also providing the flexibility to incorporate future features without the necessity for significant reworks. In line with your expectations, my backend designs are always geared toward scalability and performance optimization. These two attributes, combined with my proficiency in designing API endpoints and writing robust tests to validate the reward calculation logic, will ensure that your backend system operates as smoothly as possible while effectively reflecting the state of cash rewards on every referee's account. One crucial element that distinguishes me is my ability to remain current with emerging technologies and adapt accordingly. This ensures I can always offer you the most efficient and modern technologies for your projects. Bring me on board and together we'll build a backend system that perfectly aligns with your vision.

@indreshpnk

Hello, I understand you need a clean, scalable backend with a strong PostgreSQL schema focused around a referral system that tracks conversions and automatically triggers cash reward payouts. The goal is to build a reliable foundation that is easy to extend later with tracking links, statuses, and additional reward logic. Here’s what I can provide: • PostgreSQL database design with optimized schema, DDL scripts, relations, and ER diagram • Referral engine with APIs/stored procedures to record referrals, verify conversions, and trigger payouts • Clean backend architecture with scalable reward calculation logic and transaction safety • Unit/integration tests to validate referral flows and payout rules • Future-ready structure for tracking links, analytics, and status management I bring 4+ years of experience in backend development, PostgreSQL, API design, and scalable system architecture with focus on clean, maintainable solutions. Just to clarify: • Which backend framework do you prefer (FastAPI, Flask, Django, etc.)? • Should payouts only be logged initially, or integrated with payment gateways later? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@amit210279

I write a proposal within 1100 charcters for this project. The project should include : 1. My Understanding of the project. 2. My Solution and approach/ 3. 2-3 Key questions from my side for the client. 4. Push the client professionaly to initiate the chat need a clean, scalable backend drafted from scratch, starting with a solid PostgreSQL schema. The heart of the project is a referral module that pays out cash rewards when invitees convert, so the data model, triggers, and calculation logic must revolve around that requirement. Here’s what I’m expecting: • Database design in PostgreSQL, including all DDL scripts and a concise ER diagram. • Core API endpoints (or documented stored procedures) that record a referral, verify the qualifying event, and trigger the cash-reward payout. • Clear unit or integration tests demonstrating the reward rules in action. While tracking links or status updates are not mandatory right now, structure the tables so those features can slot in later without rewrites. Hand-over will be complete when I can spin up the database, hit the endpoints, and see a cash reward logged against a referee’s account.

@mykolas67

Hello. The important part here is designing the referral logic so payouts stay accurate and traceable as the system grows. Referral systems often become messy later because conversion rules, reward calculations, and payout history were not separated properly from the beginning. I’d structure the PostgreSQL schema around clear referral events and transaction records so future features like tracking links, status histories, or multi-level rewards can be added without rewriting core tables. The payout logic should also be isolated and testable so reward calculations remain predictable. For the API side, I’d keep the flow simple: record referral → verify qualifying action → trigger reward entry → log payout state. I’ve worked on backend systems where database structure and business rules mattered more than just exposing endpoints, especially in transaction-based workflows. Once I review the expected referral rules and conversion conditions, I can draft the schema and implementation flow cleanly.

@mansarawa

I can design and develop a clean, scalable backend architecture for your referral rewards system with a strong PostgreSQL foundation built specifically around reliable payout logic and future scalability. I’ll create a well-structured database schema with complete DDL scripts, ER diagrams, and optimized relationships to support referrals, conversion tracking, reward calculations, and future expansion like tracking links or status workflows. Using Node.js/Express with PostgreSQL (or documented stored procedures if preferred), I’ll implement secure API endpoints for referral creation, qualifying-event verification, and automated cash reward processing, along with unit/integration tests to validate the reward engine end-to-end. My focus will be on maintainable architecture, transaction safety, and clean documentation so you can deploy, test, and extend the system confidently.

@rachelbrathab

Hello, I can help you design and implement a clean, scalable backend focused around the referral reward workflow using PostgreSQL and Python. My approach will prioritize: * Well-structured PostgreSQL schema with normalization and future extensibility * Referral-first data modeling for invite tracking, conversion validation, and reward payouts * Modular backend APIs (FastAPI/Flask) for referral creation, conversion verification, and payout processing * Trigger/functions or service-layer logic for automatic cash reward calculations * Clean DDL scripts, ER diagram, and setup instructions for quick deployment * Unit/integration tests to validate referral qualification and reward scenarios Deliverables will include: * PostgreSQL schema + migration scripts * ER diagram and architecture overview * REST API endpoints or stored procedures * Reward calculation workflow * Test cases with sample data * Local setup guide so you can run and verify payouts immediately The design will also keep room for future additions like tracking links, referral analytics, status timelines, and notification services without requiring major schema rewrites. I have experience with PostgreSQL, backend development, API workflows, and scalable data modeling, and I can keep the implementation lightweight, maintainable, and production-ready within your budget range. Looking forward to working with you.

@anmolr9295

Hello, I can help design and build a clean, scalable PostgreSQL backend focused around your referral and cash-reward system. The structure will be designed from scratch with future scalability in mind, so features like tracking links, referral analytics, status histories, and additional payout rules can be added later without major schema rewrites. I can create: • Well-structured PostgreSQL schema with complete DDL scripts • Clear ER diagram and database documentation • Referral flow logic for invite → conversion → payout • API endpoints or stored procedures for reward handling • Trigger-based or service-layer payout calculations • Unit/integration tests demonstrating reward scenarios The backend will be designed to ensure transactional integrity, prevent duplicate payouts, and maintain clean audit trails for referrals and reward events. I’ll also structure the database for easy future expansion, including support for referral statuses, tracking metadata, and configurable reward rules. Deliverables will include: • PostgreSQL setup scripts • API/stored procedure documentation • Test cases and sample data • Organized backend structure • Reward flow verification from referral to payout logging Once completed, you’ll be able to spin up the database, execute the endpoints, and immediately verify rewards being recorded correctly against user accounts. Looking forward to discussing the referral rules and payout logic in more detail. Best regards, Anmol ShiverX Studio

@gurpreets058

With over a decade of experience in custom software and web application development, GSINFOTECHH OPC Pvt. Ltd. is well-equipped to turn your backend and referral system requirements into a scalable and high-performance digital solution. Our team's expertise in API development, Python, and database design using PostgreSQL aligns perfectly with your project needs. We will craft your system meticulously to revolve around the key requirement of paying out cash rewards when invitees convert. Not only will we provide you with a comprehensive database design including all DDL scripts and an ER diagram, but we will also deliver documented stored procedures or core API endpoints that accurately record referrals, verify qualifying events, and trigger cash-reward payouts, as per your preference. Our unit or integration tests will clearly demonstrate the reward rules in action ensuring the accuracy of calculations. More than just meeting your current requirements, we always plan for the future. Hence, while structuring the tables, we'll keep provisions for future prerequisites like tracking links or status updates so that integrating those features will not require any rewrites. With GSINFOTECHH OPC Pvt. Ltd., you can rest assured about getting a secure, scalable, and future-ready solution for your project.

@bishtchirag13

Hi there, I specialize in building secure Python backends and robust PostgreSQL databases. Financial logic—like cash payouts for referral conversions—requires a bulletproof schema to prevent double-payouts and race conditions. I can architect this exact foundation for you. Here is my execution plan to deliver a clean, testable system: Schema & ER Diagram: I will write the precise DDL scripts for a normalized PostgreSQL database (structuring core tables for users, referrals, and reward_ledgers). The schema will be explicitly designed so you can seamlessly slot in link-tracking and status updates later without breaking the base architecture. Core API (FastAPI): I will build lightweight, fully documented Python endpoints to: 1) Record a new referral, 2) Verify the qualifying conversion event, and 3) Safely trigger and log the cash reward to the referrer's account. Automated Testing: I will provide comprehensive integration tests that simulate a conversion event from start to finish, proving the reward rules execute and log the cash exactly as intended. I will deliver this with clear documentation so you can spin up the database, hit the endpoints, and see the rewards populate immediately. Let's connect to define your exact cash reward calculation rules so I can get started on the ER diagram! Best regards, Chirag Bisht

@yakshmaan

Hi, this is exactly my stack. I'll deliver: Clean PostgreSQL schema with DDL scripts and ER diagram FastAPI endpoints to record referrals, verify qualifying events, and trigger cash reward payouts Designed for extensibility — tracking links and status updates can slot in later without rewrites Unit tests demonstrating reward rules I've built PostgreSQL backends with FastAPI before and understand how to structure referral logic cleanly. Can deliver in 3 days. Ready to start immediately. Want to discuss the reward calculation rules?

@gavenl

Hi, I can build this referral backend as a small, reproducible PostgreSQL + Python/FastAPI package. I would deliver: - PostgreSQL schema with DDL scripts, constraints, indexes, and a concise ER diagram - referral and conversion tables designed so tracking links/status updates can be added later - API endpoints to create referrals, record qualifying conversions, calculate reward eligibility, and log reward payouts - unit/integration tests covering duplicate conversions, invalid referrals, already-paid rewards, and configurable reward rules - a short README with setup, sample requests, and the handover flow I can keep the reward rules configurable so you can adjust payout amount, qualifying event, and cooldown/anti-duplicate logic without changing the schema. Please share the exact conversion event and payout rules you want enforced.

@byronw7

I’m based in South Africa and have experience working remotely with international clients, which has helped me develop excellent time management, adaptability, and clear communication. Your project requires a clean, scalable backend with a solid PostgreSQL schema focused on a referral module that automates cash rewards. I understand the need for an integrated database design, API endpoints or stored procedures to handle referrals, validation of qualifying events, and payout triggers. I will ensure the schema is adaptable and user-friendly, allowing future features like tracking links to be added seamlessly. While I am new to Freelancer, I have tons of experience and have done other projects off site in backend development, database design, and API integration. I’m confident I can help you build a polished, high-converting system that supports your business goals. I’d love the opportunity to discuss your project further and see how I can contribute. Regards, Byron Walbrugh

@a9ling

Hi, I can deliver a lean referral backend MVP without expanding scope. I will set up PostgreSQL tables for users, referrals, qualifying events, and a reward ledger, then add core endpoints or documented procedures for creating referrals, validating conversions, and logging cash rewards. I will include simple tests plus setup notes so you can spin it up and verify one working reward flow before adding tracking links or dashboards.

@priyamane723

I can build the clean, scalable backend and PostgreSQL schema you need for your referral module. As a software engineer heavily focused on relational databases and robust backend frameworks like Spring Boot, I have extensive experience designing data models that handle complex triggers, calculations, and secure API endpoints.I understand that the core of this project is the cash-reward payout logic, and I will ensure the database is structured so future tracking features can be seamlessly slotted in later.

@AkashxTech

I can build a clean and scalable backend system from scratch using Python and PostgreSQL, focused on a referral and cash reward workflow. I will design the PostgreSQL schema with proper relationships, triggers, payout logic, APIs, and test cases to ensure rewards are correctly generated when invitees convert. The architecture will be modular and future-ready for tracking links, status updates, and microservice expansion.

@fotsoeddy

Hello, I can build this referral backend system from scratch with a clean and scalable PostgreSQL architecture focused on reward payout logic and future extensibility. My approach will include: • Well-structured PostgreSQL schema with normalized tables, relationships, constraints, triggers, and DDL scripts • ER diagram for easy understanding and future maintenance • Secure and scalable backend APIs using Python • Referral tracking and qualifying-event validation logic • Automated cash reward payout recording system • Unit/integration tests demonstrating referral conversion and reward calculations • Modular structure so future features like tracking links, analytics, and status updates can be added without major rewrites I have experience working with backend systems, API development, database modeling, and scalable application structures. I focus on writing maintainable code with clear logic and proper documentation. Deliverables will include: - PostgreSQL setup scripts - Backend source code - API documentation - ER diagram - Test cases - Sample data for quick verification By the end, you’ll be able to spin up the database, test the endpoints, and see reward payouts logged correctly against referee accounts. I’m ready to start immediately and can maintain clear communication throughout the project. Best regards