Python Developer for API & KPI Management

@Microlent

Hi, this aligns very well with the kind of backend and API-driven systems I’ve worked on recently especially platforms involving scalable REST APIs, structured data processing, KPI/reporting logic, and performance-focused backend architecture. I’ve worked on SaaS platforms, AI automation systems, workflow dashboards, and analytics-driven applications where API reliability, aggregation logic, and optimized data handling were critical. Relevant work: • Finance SaaS Platform – reporting, workflow automation & KPI systems • MetaFlow – AI/data processing workflows • Custom CRM/dashboard systems with analytics & API integrations • More portfolio & case studies: https://www.freelancer.com/u/microlent Approach: • Build clean, scalable FastAPI services with structured validation, logging, caching, and error handling • Design optimized MongoDB schemas and aggregation/query pipelines for KPI calculations and reporting • Implement efficient data ingestion and API architecture focused on maintainability and performance Tech stack experience includes Python, FastAPI, REST APIs, MongoDB, async workflows, API integrations, and scalable backend system design. I’d be happy to discuss your KPI workflows, data volume expectations, and the best backend architecture approach for long-term scalability. ~ Rajesh

@vishal1145

Your KPI calculation layer will become a bottleneck if you're running aggregations on raw MongoDB collections without pre-computed rollups. I've seen this pattern cause 10-second response times when dashboards hit 50+ concurrent users. Quick question - are your KPIs calculated on-demand per API request, or are you planning to pre-aggregate them on a schedule? And what's your expected query volume during peak hours? Here's how I'd structure this: - FASTAPI + PYDANTIC: Build strict request/response schemas with automatic validation to catch malformed data before it hits your business logic, reducing debugging time by 60%. - MONGODB AGGREGATION PIPELINES: Design compound indexes and use $facet stages to run parallel KPI calculations in a single query instead of multiple round trips. - CACHING LAYER: Implement Redis to cache frequently accessed KPIs with TTL-based invalidation, dropping response times from 2s to under 100ms for repeat queries. - DATA PROCESSING: Set up background workers using Celery to handle bulk ingestion and KPI recalculations without blocking API responses. - ERROR HANDLING: Structure logging with correlation IDs so you can trace a failed KPI calculation back through the entire data pipeline in under 2 minutes. I've built 8 similar systems where KPI accuracy and API performance were mission-critical. I don't take on projects where the data model isn't clearly defined upfront. Let's schedule a quick technical call to walk through your KPI formulas and MongoDB schema before we start building.

@KarthikTechCon

Hello, I’m Karthik from Resonite Technologies with 15+ years of experience in Python backend development, FastAPI services, KPI/reporting systems, and scalable API architectures. Your backend-focused API & KPI management requirement strongly aligns with my expertise. I have hands-on experience building secure, high-performance FastAPI applications with MongoDB and optimized data-processing workflows. ✔ Core Expertise: • Python & FastAPI backend development • REST API architecture & integrations • MongoDB schema design & query optimization • KPI calculations & aggregation logic • Data ingestion & processing pipelines • Logging, caching & error handling • API performance optimization • Git workflows & API testing ✔ What I Can Deliver: • Scalable, secure REST APIs • Structured request validation & response handling • Optimized KPI computation modules • Efficient MongoDB query implementation • Clean modular backend architecture • API documentation & testing support • Integration-ready backend services ✔ Experience Includes: • Analytics & reporting systems • Data-heavy backend applications • Dashboard/API ecosystems • Performance-focused backend engineering I focus on maintainable code, scalable API design, and reliable backend systems optimized for production workloads. Ready to start immediately and discuss timelines and architecture. Warm Regards, Karthik B Resonite Technologies

@mrresearcher99

Hello Sir, I have 5 years of experience working with python development. Let's discuss this further. Thanks, Bhargav.

@akkiwadhwa1995

Hi, I’m a senior Python backend developer with strong experience building scalable APIs, data-processing systems, and analytics pipelines using FastAPI and MongoDB. My expertise includes: FastAPI REST API development KPI calculation and aggregation systems MongoDB schema design and query optimization Structured data ingestion pipelines Caching, logging, and performance optimization API integration and backend architecture I’m also the founder of JustMetrically, a data intelligence platform that processes large-scale datasets, generates analytics, and powers automated reporting workflows, so building high-performance backend systems is my core domain. Tech stack I regularly work with: Python FastAPI / Flask MongoDB Redis caching Celery/background jobs Docker Git/Postman I focus on: Clean, maintainable code Scalable API architecture Efficient database operations Proper validation and error handling Production-grade backend workflows Available to work remotely and can start immediately.

@AZTURK1

Hi there, I will build scalable FastAPI endpoints and MongoDB aggregations to handle KPI calculations, request validation, and high-throughput data ingestion as described; my backend focus and production API experience match this stack. - Deliverable 1: Implement FastAPI REST endpoints with Pydantic validation, standardized error handling, and OpenAPI documentation. - Deliverable 2: Design MongoDB schema, write optimized aggregation pipelines and indexing strategy for KPI formulas and reporting queries. - Deliverable 3: Build data ingestion pipeline (ETL endpoints), logging, caching (Redis), and integration hooks for frontend consumption. - Risk/Quality control: Backup checkpoint, staged deployment and post-deploy validation with load sampling to ensure minimal downtime. Skills: ✅ Python ✅ FastAPI ✅ MongoDB ✅ REST API development ✅ Optimized queries & caching (performance) Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 Available to start immediately. Is this running against an existing MongoDB dataset (production) or should I provision a new staging DB for development and validation? Price: $12,500 , Delivery: 1 day. Best regards,

@ashinnd84

Hello there, we are a team of Senior Full Stack Web and Mobile App Developers, AI, ML experts. We can do this project. Please, send me a message to discuss the work. Thanks Ashish Kumar.

@Web1devloper

With my 8+ years of experience in data analytics and data science, I bring a unique perspective to your Python API & KPI management project. I have a strong proficiency in Python - an essential foundation for this role, combined with my hands-on experience with REST API development, FastAPI, and MongoDB-something that further enhances my suitability for this assignment. My extensive experience has given me the keen ability to **handle structured data efficiently**, write optimized queries, and optimize API performance. My skills are well-rounded as evident from handling **data ingestion from external sources** to implementing robust error handling and caching mechanisms for the APIs. Working across diverse industries like finance, healthcare, e-commerce, and SaaS has equipped me with insights into KPI management; I'm adept at handling KPI calculations and aggregations and can swiftly implement the required formulas and logic. Overall, I offer you not only the core backend development capabilities you seek but also broad-based business intelligence skills that will add value to your project, making me a truly valuable asset to move your API & KPI initiative forward smoothly. Let's connect soon!

@technologiesit

As an experienced Python Developer, I possess the exact skills and knowledge you seek for your backend project. Over the past decade, I have focused on building scalable API-centric systems and have become particularly adept at utilizing FastAPI alongside efficient MongoDB schema design to ensure your APIs are secure, structured, and performant. Throughout my career, I've been cherished for my ability to write optimized queries for enhanced database performance as well as meticulously handle request validation, error handling, and response structuring in a manner that simplifies maintenance and promotes reusability. Furthermore, KPI calculation logic implementation has been a significant component of my work which will prove invaluable when implementing thorough KPI calculations with complex formulas and aggregations on your platform. In addition to my expertise, I also bring commitment and long-term support to the table; once onboarded, I am devoted to ensuring your system remains functional and continues to run seamlessly. I take pride not just in delivering fast-paced solutions but in building relationships that last. With over 100 successful projects delivered over a decade-plus span, I can confidently say that working together we can turn your vision into reality. Let's start!

@Algokage

Hello, I can deliver a robust Python-based API and KPI management system tailored to your needs. I'll leverage FastAPI and MongoDB to create scalable, secure, and well-structured APIs, handling request validation, error management, and response structuring. I'll also implement KPI calculations, data processing, and optimized database queries, ensuring efficient data ingestion and integration with frontend systems. With 5+ years of experience, I'm confident in my ability to meet your requirements. Please send a message to request samples or a demo, or to discuss specific project details further. Thanks, Adegoke. M

@gsantharam7088

Hello, I’m interested in this opportunity and have strong experience in backend development using Python, REST APIs, and database-driven systems. I can help build scalable and well-structured APIs using **FastAPI**, with proper request validation, error handling, logging, and optimized performance. I also have experience working with structured data processing, KPI calculations, aggregations, and backend integrations. ### Technical Skills * Python & FastAPI * REST API development * MongoDB schema design & query optimization * Data ingestion & processing * Caching, logging & performance optimization * Git & API testing tools I focus on writing clean, maintainable, and scalable backend code with proper API architecture and security practices. I’m comfortable working remotely, collaborating with frontend teams, and handling evolving backend requirements efficiently. Looking forward to discussing the project and contributing to your system.

@Linkmez

Hi, Your project is a strong match for my backend experience. I build Python APIs with clear validation, reliable error handling, and production-minded performance tuning, and I’ve also worked on structured data processing, aggregation logic, and backend integrations. For this scope, I can help with: - FastAPI endpoint design and clean response structure - KPI calculation logic and aggregation workflows - MongoDB schema/query optimization - External data ingestion pipelines - Logging, caching, and API performance improvements - Integration support for frontend consumption I focus on backend systems that are maintainable and easy to extend, not just quick patches. I can start by defining the API structure, KPI calculation flow, and MongoDB access patterns, then move into implementation and testing in clear milestones. One thing I’d like to confirm: do you already have the KPI formulas/specs documented, or should I help formalize them from your current business rules? I can start quickly and keep communication straightforward throughout the build. Best regards,

@manoval09

Hi, I can see you need APIs that handle data processing and KPI calculation at scale—that's the kind of backend work where the right architecture makes or breaks the entire project. Here's my approach: I'll design your APIs using FastAPI with async workers for data processing, which cuts query latency significantly compared to synchronous frameworks. For KPI storage, I'll use PostgreSQL with materialized views for fast aggregation queries—this avoids recalculating metrics on every request and keeps your dashboards responsive. Caching with Redis handles high-frequency metric reads without straining your database. My first 24 hours: I'll map your data schema, identify KPI dependencies (which metrics compound, which are independent), and outline your API endpoints with actual request/response examples. This approach clarifies scope before we code. What's your timeline for having the core APIs live, and do you have existing data sources I'd be connecting to? Best regards, Val

@raj00565

Hi, With over a decade of experience in system administration, network engineering, and DevOps, my skills extend far beyond just backend development. This deep technical proficiency and broad range of expertise enables me to design, build, and manage scalable IT infrastructures--a skillset particularly valuable for building and managing APIs, data processing, and KPI calculations with the accuracy you require. In your project description, you highlighted the need for a Python Developer experienced in FastAPI and MongoDB. Rest assured that I fit that bill perfectly. With a strong proficiency in Python and years of experience in REST API development, I am well positioned to not only design and develop your desired APIs using FastAPI or Flask but also handle request validation, error handling, response structuring, logging, error handling and caching efficiently. Furthermore, my mastery in schema design and queries with MongoDB means the data you need ingested from external sources will be handled smoothly and with the utmost care. I understand the importance of optimized database queries for smooth performance as well as optimized API response time for enhanced user experience. All these skills make me the ideal candidate for the role. Let's join forces to bring your project to life! Regards Dhanu Innovations Pvt. Lt

@kaustubhbawa123

Hi, I am an IITian , worked at fortune 500 companies. I will make it a reality for you. With 7+ years of experience I will deliver a high-quality solution using modern technologies and industry best practices. Kindly click on the chat button so we can discuss and get started. Will share you my prior projects done and my resume too. I have been doing freelancing since 2019 worked at top MNCs in both USA and India. Lets connect

@tyax07

Hi there, I’ve built solid backend systems before, particularly with APIs that need to be both clean and professional. Knowing how critical it is for your project, I’m confident in my ability to meet all your expectations for scalable and well-structured Python APIs. I saw that you need a seamless, integrated, and automated solution focusing on FastAPI and MongoDB, with top-notch KPI calculation logic. Handling request validation and error handling to keep things user-friendly sounds right up my alley. I’m comfortable with Python, FastAPI, MongoDB, and all the essentials to keep your backend running smoothly. I’m the right person because I combine technical skills with fast, clear communication and a commitment to quick turnarounds. I am available for a quick chat! Best Regards Ty

@murtesa

Hello, I am a Python Developer with 3 years of experience in backend development using Python, FastAPI, and MongoDB. I have a strong proficiency in Python and have worked extensively on REST API development and MongoDB schema design. I understand your requirement for building and managing APIs, data processing, and KPI calculation logic for your system. I am confident in designing and developing REST APIs using FastAPI, handling request validation, error handling, and response structuring, and ensuring scalability, security, and well-structured APIs. I will ensure effective communication throughout the project and am excited to collaborate with you on this project. Best regards

@nathanholmes

The KPI calculation and aggregation layer is the part I’d focus on most because backend analytics systems tend to become difficult to maintain when formulas, ingestion logic, and API responses are too tightly coupled. Keeping the processing pipeline modular early makes scaling and future metric additions far easier. I’d approach this with a structured FastAPI architecture using clear validation models, optimized MongoDB aggregation pipelines, and caching/logging layers to keep response times stable as data volumes grow. Separating ingestion, calculation, and API delivery logic would also make debugging and future integrations much cleaner. I’ve worked on Python backend systems involving FastAPI, structured data processing, KPI logic, and performance-focused API design where reliability and maintainability were just as important as feature delivery itself. Happy to discuss how I’d structure the API and calculation workflow if useful.

@DartagnanM

Hi there, I understand you need a seasoned Python developer to create reliable, scalable APIs and handle KPI logic with precision using FastAPI and MongoDB. With over four years of experience specializing in backend development and API design, I know there is no room for error when building systems that support critical business metrics. To ensure your project is future-proof and easy to maintain, I recommend beginning with a clear definition of your KPI formulas and data ingestion workflows. This helps avoid costly rework later and keeps integration with frontend systems seamless. Are there specific KPI calculations or external data sources you want prioritized? Clarifying this will allow me to tailor a performant solution that matches your goals without complexity. Rest assured, you will receive professional service at a competitive price with the confidence that I respect your time and budget—no need to spend twice fixing issues. Looking forward to making your backend robust and efficient. Kind regards, Dartagnan Marneweck