Need a backend developer for a data aggregator (API & CSV) – long-term collaboration

Good day! 👋
I have experience working with API integration and processing CSV files.
One of the projects is a system for collecting and processing CSV files from a website with subsequent processing and searching in the database.

I recommend using the Python stack (FastAPI), PostgreSQL for data storage, and Celery for background updates and logging, which ensures scalability and stability.

I am ready for long-term collaboration, quickly adapt to requirements, and am willing to discuss details and propose optimal solutions. 🚀

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Good day!

I am interested in your project — I have experience in API integration.

Experience:

✔ API integration.
✔ CSV processing (import, update, validation).
✔ Logging and caching (Serilog, Redis).
…
Proposed stack (.NET Core):

🔹 ASP.NET Core (Web API) + Entity Framework Core
🔹 SQL Server / PostgreSQL
🔹 Redis (caching), Hangfire (background tasks)
🔹 Docker for scaling

⏳ Estimated timeline: 3 weeks for the first version.

I look forward to your feedback! 🚀

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Good day!

I am a full-stack developer with 15 years of experience.

I am ready to join your project and support similar solutions in the long term.

1. I have extensive experience in integrating various APIs, preferably with available documentation. I have worked with data parsing, generation, and processing of CSV files, particularly for product imports.

2. For this task, Node.js + MongoDB would be a great fit:
…
MongoDB allows for convenient storage of JSON structures, especially when working with unstructured or variable API responses.

If needed, a relational database can be easily integrated — I have experience with those as well.

3. I once created a data collection system and maintained it up to date with a domain name database, subsequently using this data in internal processes. (feedback: https://freelancehunt.com/project/parser-na-node-js/634091.html)

4. Without a detailed technical specification, it is difficult to estimate accurately, but preliminarily — from 1 to 2 months for the implementation of the first version.

5. I am interested in a long-term partnership.

P.S. I can send my CV upon request.

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Good afternoon, Artem
I have experience and am ready for permanent work
Let's discuss the details, after which I will be able to provide you with more specific information regarding deadlines, pricing, and the technical stack with architecture
Message me privately
Best regards, Alexander

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Hello. I have extensive experience with Node.js, I have also worked a lot with various APIs, and I have also worked many times on tasks where it was necessary to parse CSV. I am ready to collaborate.

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Hello, this is a typical parsing and ETL task. There can be many solutions, and it's better to choose according to needs, using popular frameworks is advantageous as it will be easy to maintain the project. For example - for task orchestration - airflow (a popular framework, easy to maintain, easy to find executors) for parsing - scrapy (a popular framework, easy to maintain, easy to find executors). Such a solution is very easy to scale - docker/swarm, k8s/k3s. But this approach is for a large project. Perhaps to start, it’s better to use celery/redis + fastapi, as has already been suggested.

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Good task., it will be interesting to work.
I have experience in building similar systems, I can show in private communication.
I think we need to use a simple stack:
* FastApi
* Celery + Redis
* Postgress DB
It is impossible to estimate the timeline based on this task description because there is little specificity, but I think in two to three weeks the main skeleton of the backend will be ready.

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Artem, hello,

I have worked on similar projects where I integrated APIs for collecting and processing data from various sources, as well as worked with CSV files for their processing and updating in databases. There is a case of developing a system for processing financial data, where there was integration with an API, as well as processing large data arrays with loading into the database.

My recommendation is to use Docker containerization to ensure scalability and ease of deploying the solution in different environments. Regarding testing API requests, a simple UI can be implemented to check requests, which will provide flexibility without excessive complexity.

As for timelines, an initial prototype can be developed in about a few weeks, but more complex features and integrations may require additional time. If you are looking for ongoing collaboration, I am ready to work on similar projects.

Write if you want to discuss details, budget, and timelines. I can suggest several technology options for your project, depending on the requirements.

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Good afternoon
I will try to help, feel free to reach out
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