Broker.AI FULL-STACK-DEVELOPER (PYTHON/DJANGO/SVELTE) & DATA ENGINEER - 28/08/2026 08:15 EDT

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in JavaScript, Python, Django, Typescript, Web Crawling, Full Stack Development, ETL, Svelte, FinTech, RAG Pipelines and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@techplusintl

Hi Nico, I can develop a robust PDF/CSV parser architecture that is modular and extendable, ensuring that it can handle various export formats seamlessly. This will involve creating format-specific parsers that convert raw data into structured trade data while implementing error handling for new formats and incomplete data. I will also ensure that the parser provides clear status codes and internationalization-ready error messages. In addition to the parser, I will contribute to the full-stack development using Django and Svelte. I will extend the existing API and ensure that the frontend is responsive and user-friendly, adhering to the project's documentation and coding standards. I will run both repositories locally for thorough testing and use GitHub for version control. To get started, I will need access to the existing codebase and any relevant documentation. I also recommend discussing the deployment requirements for the Infomaniak Public Cloud to ensure a smooth transition to production. You can view my portfolio at https://www.freelancer.com/u/techplusintl. Thanks!

@toriquldev123

Hello There! I’m Md Toriqul Islam, a senior full-stack developer specializing in Python, Django/DRF, Svelte, TypeScript, PostgreSQL, data processing, and scalable API architecture. I’m excited to partner with you and can start immediately. I understand you need a strong developer for modular PDF/CSV parser architecture, structured trade-data extraction, Django/PostgreSQL mapping, validation and testing, while also contributing to Svelte 5/TypeScript frontend workflows and upcoming integrations. I am skilled in Python, Django, DRF, PostgreSQL, PDF/CSV parsing, pytest, Svelte 5, TypeScript, REST APIs, data pipelines, and Linux/SSH. I have a few questions: 1) Do you already have anonymised sample PDF/CSV files and the existing Django models available for the first parser? 2) How many external export formats are currently planned for the initial parser milestone? 3) Could you share the existing architecture/documentation and coding conventions before the first task? I’m comfortable working within your existing architecture, GitHub workflow, test environment, and documentation standards. I’d be happy to discuss either hourly or milestone-based collaboration. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@tkach11

Hi Nico, I can step in as your Full-Stack Developer & Data Engineer to build out your modular PDF/CSV parsing engine in Python and extend your Django 5 / Svelte 5 platform. For the core parsing architecture, I design test-driven (pytest) modular ingestion pipelines that normalize heterogenous financial exports into strict Django ORM schemas, complete with edge-case handling, format validation, and localized error reporting. On the full-stack side, I work extensively with Django REST Framework, PostgreSQL, and modern Svelte 5 (Runes) using clean TypeScript and vanilla CSS layout systems without heavy framework overhead. I am fully comfortable working in Linux IaaS environments (Infomaniak), handling Gunicorn configs, and integrating European payment gateways like PostFinance and Wise. My rate is €18/hr for ongoing part-time collaboration. I am ready to pull the repositories locally, review your parser documentation, and start with the sample dataset. Best regards, Nestor

@devendrathakur12

Hi Nico, I’m a Senior Full Stack Engineer with 20+ years in Python and data engineering. I have gone through your specific requirement for PDF and CSV parsers. I built something like this for a fintech client processing 20K+ financial records, using Django, PostgreSQL and Python ETL pipelines. I would use PyMuPDF for PDF extraction instead of OCR first, because structured financial exports give cleaner values and fewer parsing errors. I will build a modular Python parser layer mapped into your Django 5 models, with pytest fixtures from anonymised files. Svelte 5 with Runes will consume the existing DRF APIs, while parser status codes keep errors ready for your seven language setup. And I will follow your existing project patterns rather than introduce another architecture. Samples I can send from financial data and parsing work. Which PDF and CSV export formats are already supported today? Can you share a few anonymised files that currently fail or need manual correction? Which existing Django models receive the parsed trade records? Free for a quick call this week? Or answer those three and I’ll map the parser flow tonight. Dev Singh

@denisSolution

Hi, I'm Denis, a full-stack developer with experience building data-heavy systems and modular parsers for structured data extraction. Your project needs a robust PDF/CSV parser that can scale with new formats while keeping the data pipeline clean and testable. I’ve worked on similar parsing architectures where raw financial documents needed strict validation and mapping to relational models—exactly what you’re describing with Django and PostgreSQL. On the frontend, I’ve used Svelte for responsive workflows with TypeScript, and I understand the importance of sticking to existing conventions while extending functionality. For the parser, I’d start with a core framework that routes files to the right handler, implements validation, and logs errors in a way that’s easy to debug. The Django REST API extensions would follow the same pattern—clear endpoints with strict input/output contracts. Deployment on Infomaniak’s stack means documenting environment specifics upfront, which I’ve done before to avoid last-minute surprises. The biggest risk here is inconsistent input data. I’d handle it with strict schema validation at each step, fallback parsers for edge cases, and automated tests using anonymized samples to catch regressions early. I can start working right away. Let's connect and discuss the details. Thanks, Denis.

@KavyaTechNepal

Namaste, I’d love to contribute as a senior Full-Stack Developer/Data Engineer. I have strong experience with Python, Django, REST APIs, PostgreSQL, TypeScript, data processing, and modular architectures. I can build an extensible PDF/CSV parser framework, map heterogeneous trade data into Django models, implement validation/routing, error handling, i18n-ready status codes, and comprehensive pytest coverage. I can also contribute to Svelte/TypeScript workflows, responsive interfaces, APIs, webhooks, payment integrations, ETL/data pipelines, GitHub workflows, and Linux-based deployments. I’m comfortable working within existing architecture and documentation without introducing unnecessary patterns. Best regards, Amit G. Kavya Tech Nepal Freelancer Profiles: [https://www.freelancer.com/u/iamamitgupta1994](https://www.freelancer.com/u/iamamitgupta1994) [https://www.freelancer.com/u/KavyaTechNepal](https://www.freelancer.com/u/KavyaTechNepal)

@ishtiaqn2o

Hello Nico, Hope you are doing well. We’re a small experienced team with strong Python/Django, PostgreSQL, TypeScript and data-processing experience. The PDF/CSV parser work is a good fit for us—we can build it as a modular, testable architecture with proper validation, error handling and clean mapping into Django models. We’re also comfortable working with existing codebases, Django REST APIs, complex workflows and production deployments. We can support the project part-time and are open to a long-term collaboration. Happy to review the existing architecture and discuss the first parser milestone. Kind Regards

@krupnovdenis

Hello! We can cover these tasks through an external contractor format. 1. Are you open to working with an external contractor or team for these tasks? 2. Which tasks and technologies need to be covered first? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@shayankhan333

Parser work on heterogeneous broker exports usually fails at the mapping stage, not the extraction, so I'd lock the canonical trade schema before writing a single format-specific parser. I'll build the modular framework with a router, per-format parsers (PDF, CSV) mapped into your Django/PostgreSQL model, and pytest coverage on anonymised samples. PDF exports from banks often ship as image scans mid-batch, so OCR fallback belongs in the router from day one. Past work covers Django, Svelte and Python parsing jobs. You can see my past work and reviews here: https://www.freelancer.com/u/shayankhan333 1) How many broker export formats are in scope for the first milestone? 2) Are the PDFs text-based, or a mix with scans needing OCR? Cheers Shayan

@dataspro

Nice to meet you , It is a pleasure to communicate with you. My name is Anthony Muñoz, I am the lead engineer for DSPro IT agency and I would like to offer you my professional services. I have more than 10 years of working as a Backend and Software developer, I have successfully completed numerous jobs similar to yours therefore, and after carefully reading the requirements of your project, I consider this job to be suitable to my area of knowledge and skills. I would love to work together to make this project a reality. I greatly appreciate the time provided and I remain pending for any questions or comments. Feel free to contact me. Greetings

@Muhammadzeesha59

Hello Sir/MAM I am a Skilled Full Stack Developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms, Linux , Windows , Cloud , Azure , Ubuntu , OpenAI , Desktop Applications. Web Development , RAG I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning “Computer Vision ” Object Detection”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@AndrewJSMAN

I’ve built modular PDF/CSV parsers for WealthTech platforms handling trade data ingestion, so this stack is familiar ground. Parser framework will use Python’s `pdfplumber`, `PyPDF2`, and `pandas` for extraction, routed through a Django REST endpoint with status codes and i18n error messages. Backend extends your Django 5 API with transaction-safe mappings to PostgreSQL, while the Svelte 5 frontend consumes it via typed endpoints with Runes for state management. Infrastructure follows Infomaniak’s IaC; env vars pinned, deploy via Gunicorn with health checks. Payment hooks (Payrexx, Wallee) integrated via their official APIs, webhooks verified server-side. I can start immediately. Thanks, Andrii.

@HamparProd

Hi Nico, The parser/data-engineering priority is particularly interesting to me because I’d treat it as a maintained ingestion architecture, not a growing collection of one-off PDF/CSV scripts. I’d build around a normalized trade schema with format-specific adapters, explicit validation, parser routing, structured status/error codes and pytest fixtures using anonymized samples. That gives you a clean path from raw broker exports into the existing Django/PostgreSQL model and later enables confidence-based automatic format detection. For the wider application, I’m comfortable working inside an established Django/DRF + TypeScript architecture, following existing conventions rather than introducing unnecessary patterns. I can also contribute to REST workflows, payment/webhook integrations, responsive frontend work, testing and Linux-based deployment. I’d start by running both repositories locally, reviewing your architecture/docs and implementing the first parser through the complete validation-to-model workflow before expanding the framework. Relevant full-stack/data integration examples can be provided with my application.

@longngoc2307

==== Hi - Truong here ==== "EXTENDABLE PDF/CSV TRADE PARSER" — you need reliable parsing that maps messy exports into clean Django/PostgreSQL trade data. I’d make the parser framework format-specific but share validation, routing, status codes, and error handling. That keeps new broker formats easy to add without touching existing parsers. I’d test each parser with anonymised samples, including incomplete PDFs, changed columns, and unreadable files. For the first milestone, can you provide 2–3 representative PDF/CSV exports plus the existing Django model structure? Looking forward to work with you

@arslanshahid386

Hi, I can help you with this project. I have relevant experience with JavaScript and can handle the work from development to testing and delivery. I've reviewed your requirements and can provide a clean, reliable, and responsive solution. Let's discuss the details and get started. Best, Arslan Shahid

@sufyanasmat38

I have strong experience with Python, Django, REST APIs, PostgreSQL, data processing, and building modular parsing and ETL solutions. I can develop reliable PDF and CSV parsers with validation, error handling, automated tests, and clean mapping into Django models, while also contributing to the Svelte and TypeScript frontend. I’m comfortable working with existing architectures and detailed conventions, and can support integrations, webhooks, payments, and deployment. Please start the inbox so we can discuss the existing codebase and requirements.

@mahads31

As an experienced full-stack developer, I bring valuable skills in Python and JavaScript that inherently align with your project needs. Having worked extensively with Django and the Django REST Framework, I've honed my PDF/CSV parsing skills and developed a deep understanding of modular architecture and clean data mapping; perfectly suited for Priority 1 tasks. My organized approach allows me to handle error cases like new format detections, enable i18n-ready error messages, and provide accurate status codes. In addition to backend proficiency, my familiarity with Svelte 5 and TypeScript make me well-equipped to contribute effectively to your frontend requirements outlined in Priority 2. While adhering meticulously to your project documentation without changing patterns, I'm adept at running both repos locally to perform manual tests ensuring seamless integration of any enhancements. Furthermore, my background in dealing with complex responsive tables and multi-step wizards can bring added value for you. I'm als

@lazarr4

Hello, The first thing I'd focus on is the parser architecture—modularity and error handling are critical since you're dealing with heterogeneous financial data formats that can break unexpectedly. I've built similar systems before where the challenge was keeping parsing logic clean and maintainable while ensuring strict data mapping to Django models. Recently, I worked on a WealthTech platform where I developed a flexible parser framework that handled PDF, CSV, and custom exports. The key was separating format-specific logic from core parsing logic, which made it easier to add new parsers without touching existing code. I also integrated the parsed data into PostgreSQL with validation and wrote pytest suites with anonymized sample files to catch edge cases early. For this project, I'd start by setting up the parser framework in Django, implementing the initial parsers, and mapping to your trade data model. On the frontend, I'd extend your Svelte 5 components while keeping the existing architecture intact. Testing and documentation will be baked in from day one, especially around parser selection and error messages. One unknown is how tightly coupled the parsers will be to your existing Django models—does the mapping require custom fields or can we align with the current schema? Thanks, Lazar.