Full-stack Developer for GRC Integration Engine

@Mahihassi

As an experienced full-stack developer with a focus on API integration, I am confident in my ability to deliver the automated API evidence fetching engine your GRC platform needs. My team and I at MHTechFusion have a successful track record of building and implementing robust third-party API integration pipelines - exactly what your project requires. Our proficiency in Python (FastAPI, Pydantic), PostgreSQL, and experience with asynchronous task orchestration (Temporal/Celery/Redis) makes us well-equipped to handle large-scale data tracking and ingestion like what you need for MDM telemetry, scanner payloads, infrastructure asset tracking, user system monitoring, and risk/vendor reviews. To ensure excellence in security monitoring, we understand the fundamental importance of adhering to protocols such as SOC 2 and ISO 27001.

@santoshkumars17

When it comes to complex third-party API integration pipelines and handling security/compliance data vectors, I've got the experience and skills that you need. With over 5 years in the industry and as a Full Stack Developer, I've built numerous applications that required robust API integrations and efficient management of sensitive data. My expertise in Python (including FastAPI), PostgreSQL, and Async Task Orchestration means that I'm more than capable of building the secure, automated API connectors your GRC platform needs. Beyond just my technical skills, I embrace a philosophy of clean, optimized, and maintainable code. Given the nature of your project where risk mitigation and privacy measures are paramount concerns, this is an essential quality that can't be overlooked. Furthermore, having worked on similar projects before allows me to bring valuable insights to the table along with the ability to hit-the-ground running. In addition to my skill set, what sets me apart is my approach to development - I'm not just concerned with code, but also with delivering a solution that's end-to-end functional and user-friendly. Should technical issues arise or there be a need for deeper understanding about how things work behind the scene, you can count on my clear communication and support to demystify the process. Let's move forward together on this exciting AI-powered GRC platform project!

@KarthikTechCon

Hi, I’m Karthik, a Senior Full Stack & Backend Engineer with 15+ years of experience building API integration platforms, security/compliance systems, and scalable backend architectures. Your AI-powered GRC platform aligns strongly with my expertise in: ✔ Python + FastAPI development ✔ Complex third-party API integrations ✔ Async orchestration (Celery/Redis/Temporal) ✔ PostgreSQL & JSONB data modeling ✔ Security/compliance data pipelines ✔ Continuous monitoring systems ✔ Cloud & vulnerability integrations ✔ Scalable backend microservices I have experience building: • Automated API ingestion pipelines • Security telemetry & monitoring systems • Compliance/audit tracking platforms • SaaS backend architectures • Real-time data synchronization workflows I can help build: • MDM telemetry connectors (Jamf/Intune) • Vulnerability ingestion pipelines (Wiz/AWS/GitHub) • Asset/inventory tracking systems • Risk & vendor review workflows • Policy/training/access monitoring modules My approach focuses on: • Secure scalable API architecture • Reliable async task orchestration • Clean modular FastAPI services • Efficient JSONB evidence tracking • Long-term maintainability & observability Experience includes enterprise integrations, compliance workflows, monitoring systems, and automation-driven SaaS platforms. Available for long-term collaboration and immediate onboarding. Best Regards, Karthik

@sedawy

Drawing from my extensive 15+ years of experience in IT infrastructure - which spans across my roles as a DevOps and Cloud Engineer - I'm able to bring a rich set of skills that can transform your GRC platform into a secure and efficient powerhouse. Having worked closely with Python, PostgreSQL and tasks involving third-party API integrations, I understand the ever-important need for reliability when handling security and compliance vectors. My knowledge of building elaborate CI/CD pipelines with Jenkins, GitHub Actions, GitLab CI positions me well to deliver on creating a Continuous Control Monitoring integration engine for SOC 2 and ISO 27001 tracking. I’ve effectively deployed Kubernetes, Docker, Terraform on AWS/Azure/GCP servers, while focusing keenly on securing networks and maintaining firewalls. These experiences underline my ability to build secure automated API connectors that will efficiently poll and ingest security evidence from external tools into your GRC platform. Moreover, my MBA in E-Business individualizes my service by integrating the needs of your business with the expertise I bring to the table. With full-time availability guaranteed, rapid response time and clear documentation standards, you can rest assured that our project will be handled meticulously and professionally. Let's collaborate to take your project to the next level!

@Shrutibimpl

You want an asynchronous FastAPI backend integration engine that automatically pulls and processes security evidence from your external tool ecosystem for real time SOC 2 and ISO 27001 compliance. This control monitoring engine automates the tedious work of collecting security evidence from mobile devices, cloud assets, and vulnerability scanners. By replacing manual audits with automated ingestion, you get continuous audit readiness and the peace of mind that your compliance dashboards are always accurate. Your team can confidently show auditors live security tracking without wasting hundreds of engineering hours chasing down logs and policy sign offs. We will build a highly concurrent FastAPI and Pydantic ingestion service designed for high throughput and fail safe processing. Using Temporal or Celery with Redis, we will architect resilient async workflows that handle API rate limits and backoffs for tools like Jamf, Intune, Wiz, and GitHub. The ingested payloads will store schema agnostic raw evidence in PostgreSQL JSONB columns with index optimization, ensuring fast querying and scalable asset tracking as your system grows.

@Hrolgar

The audit defense case for this system runs through one question: if a control finding is challenged six months from now, can you prove the evidence wasn't altered after collection? A sha256 hash per record solves half of it; an append-only event log with connector_version, fetched_at, and scope_id solves the rest. Here's the design: each connector implements a Python protocol (fetch(scope) -> list[Evidence]) so new sources plug in without touching the scheduler. Evidence records are written append-only to Postgres, stamped with sha256, fetched_at, connector_version, and scope_id on arrival. Celery drives the cron schedule with retry-and-backoff on failures. FastAPI exposes run history and a hash-verify endpoint that re-hashes on demand, which is what you hand an auditor when they challenge a finding. The React dashboard surfaces run history, evidence-by-control mapping, and the verify action. Starters: AWS IAM/CloudTrail, GitHub org settings, Okta users/groups, GSuite admin. Each connector is roughly 150 lines of fetcher plus a normalized schema mapper, so the control-mapping layer gets consistent fields. M1: Connector protocol + AWS IAM + Okta connectors, INR 7000, 2d. M2: Celery scheduler + retry + Postgres event log, INR 7000, 2d. M3: React dashboard + run history, INR 7000, 1d. M4: Evidence-control mapping + hash-verify endpoint, INR 7000, 1d. M5: Deploy + handoff, INR 7000, 1d. Does the platform already have a control taxonomy I'd map evidence against, or is that schema part of M4?

@KrisuTechkul

Hi, we are a team of 20+ AI/ML Engineers based in Delhi - have completed 300+ projects with 100% client satisfaction & long term association. I As a full-stack developer with specialization in complex API development, particularly using Python and the FastAPI framework, I'm confident that my skills align perfectly with your GRC integration project. I have hands-on experience building secure and robust API connectors that effectively fetch data from third-party tools - a skill set that would be invaluable for building your Continuous Control Monitoring (CCM) integration engine. Additionally, my knowledge extends to PostgreSQL (which you mentioned is integral to your project), as well as Async Task Orchestration - further enhancing my suitability for your needs. This breadth of experience also includes dealing with sensitive data vectors like security and compliance, a skill that's critical in ensuring the integrity of an AI-powered GRC platform like yours.

@nikhilroyjs

Hello! Your vision for an AI-powered GRC platform and its integration engine is truly compelling. My deep expertise in Python (Django) backend development, particularly in architecting secure, complex API integration pipelines and managing diverse data vectors, aligns perfectly with your evidence-fetching needs. I am confident in my ability to quickly adapt to FastAPI, leveraging my strong Python foundation to build robust and scalable CCM solutions for your SOC 2 and ISO 27001 tracking. Eager to discuss further! Regards, Nikhil Chandra Roy.

@amitpandeyposin

Hello there we are a full stack developer. I have read your project requirement carefully. I understand what you want to need. I am sure we can develop your system as per your requirements. Please come on chat to discuss the details.

@himanshu0818

I have strong experience building FastAPI-based secure API integration pipelines with async task orchestration and PostgreSQL JSONB, and can build scalable automated evidence-fetching connectors for your AI-powered GRC compliance platform.

@Srashtasoft

Hello, We have strong experience building secure API integration pipelines, compliance automation systems, and scalable backend architectures using FastAPI and PostgreSQL. Relevant experience: • Third-party API integrations (AWS, GitHub, Google Workspace, Microsoft APIs, security tools) • Async processing with Celery/Redis and event-driven workflows • JSONB-based compliance/evidence storage in PostgreSQL • Secure polling, webhook ingestion, retry logic, and audit logging • Role-based access and compliance-focused architectures A few quick questions: =================== Which integrations are the highest priority for the MVP? Do you already have an internal data schema for evidence mapping? Will integrations rely mainly on polling, webhooks, or both? We can deliver clean, scalable, production-ready architecture with long-term maintainability in mind. Best regards

@pinkeegupta

Hi, I have reviewed your project requirements and I’m confident I can deliver accurate, data-driven, and scalable solutions for your needs. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@rownakmazumder

I'm Rownak, and I genuinely believe my skillset in Python (FastAPI) and PostgreSQL is tailor-made for your project's needs of building automated API evidence fetching for your GRC platform. Specifically, I have a solid track record in constructing complex third-party API integration pipelines and handling security/compliance data vectors, which aligns perfectly with your project scope. Additionally, my experience as a Full Stack Developer allows me not just to handle the backend component of your project but also to create responsive and intuitive user interfaces - an aspect that can significantly enhance the overall effectiveness of an application designed for security governance needs. Beyond technical skills, my approach to projects emphasizes delivering high-quality and maintainable code that meets both user needs and business objectives. This entails meticulous attention to detail from start to finish and keeping up with industry trends to ensure that my solutions are the best fit for the job. Let's join forces, transform your AI-powered GRC platform into a reality that truly thrives on efficiency and security.

@khuzema0501

Hi, I’m a Full Stack Python engineer with strong experience building secure API integration pipelines, compliance automation systems, and async data-ingestion services using FastAPI, PostgreSQL, Celery, and Redis. I’ve worked with cloud/security APIs including AWS, GitHub, MDM, vulnerability scanners, and identity providers to automate evidence collection and monitoring workflows. I can build scalable CCM connectors with robust retry handling, JSONB evidence tracking, background task orchestration, and secure authentication/token management aligned with SOC 2 and ISO 27001 requirements. Ready to discuss architecture and implementation immediately. Khuzema

@Microlent

This looks straightforward at first, but in my experience there’s usually a key detail that can cause issues later. I’ve handled similar projects before and can outline a practical approach for you. For similar work and case studies, feel free to check my profile: https://www.freelancer.com/u/Microlent Let me know if you I'd like me to walk you through the plan. – Rajesh Rolen

@sjohn117

Hi, I am Sean, a Full-Stack Developer with over 10 years of experience, specializing in building scalable applications with technologies like Python and FastAPI. I understand you are looking for an expert to develop an automated API integration engine for your AI-powered GRC platform, specifically focusing on Continuous Control Monitoring (CCM) for SOC 2 and ISO 27001 tracking. In past projects, I have successfully built complex third-party API integration pipelines, ensuring secure and automated data ingestion from various tools. My approach includes utilizing PostgreSQL for efficient data tracking and employing async task orchestration with tools like Celery to handle high throughput. I prioritize clean code, thorough testing, detailed documentation, and a secure implementation. I can deliver the first working milestone within a week to facilitate early testing and feedback. Let's discuss how we can align my experience with your project goals and ensure a successful integration. What specific third-party tools do you plan to integrate with the GRC platform? Sincerely, Sean

@dushyant317

With 11+ years of backend engineering experience, we can build a scalable FastAPI-based Continuous Control Monitoring (CCM) integration engine capable of securely ingesting telemetry, vulnerability data, asset inventories, personnel lifecycle events, and compliance evidence from third-party APIs into your AI-powered GRC platform.

@usamaansari786

What you are building is a highly specialized GRC automation engine where the real complexity is not just FastAPI development but designing a reliable continuous evidence ingestion system that can securely integrate multiple third-party APIs normalize compliance data and maintain audit-ready traceability across SOC 2 and ISO 27001 frameworks I specialize in building backend systems using Python FastAPI and event-driven architectures where the focus is on scalable API integrations async processing pipelines and structured data modeling for high-trust systems. I’ve a couple of quick questions regarding your setup Q) For your CCM engine do you want near real-time polling per integration or a scheduled batch-based ingestion model with configurable sync intervals per vendor Q) Do you already have a unified evidence schema defined or should the first phase include designing a normalized data model across all compliance sources Let’s have a 10 minute discovery call. I can also help design the full integration architecture including async orchestration strategy PostgreSQL JSONB schema design and secure API connector patterns so the platform stays scalable and audit-ready Best Usama F

@Nabbpb

⭐⭐⭐⭐⭐ ✅Hello, I’ve built secure FastAPI-based integration pipelines for compliance, infrastructure monitoring, and AI-driven platforms, so I clearly understand the complexity of ingesting high-volume security evidence across multiple third-party systems while maintaining reliability, auditability, and scalability. In previous projects, I’ve developed async API ingestion engines using FastAPI, Celery/Redis, PostgreSQL JSONB, and cloud security integrations involving AWS, GitHub, Microsoft ecosystems, and device telemetry sources. I’ve also handled structured compliance workflows where evidence normalization, retry handling, rate-limit management, and secure credential storage were critical for SOC2/GRC-style monitoring systems. My experience includes building background task orchestration, webhook pipelines, and resilient polling services designed for long-running compliance operations. For this project, I will architect modular CCM connectors with clean FastAPI services, async workers, and normalized evidence tracking in PostgreSQL JSONB. I’ll implement secure polling, schema validation with Pydantic, retry/error handling, and scalable orchestration using Celery or Temporal depending on your infrastructure preference. Let’s connect so I can review the current platform architecture and map out the integration strategy for a scalable production-ready CCM engine.