It is necessary to develop an analytical processing system for Allegro marketplace reports

Budget: 1000 PLN Deadline: 2 days

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What is the biggest challenge in your project so I can help with an optimal solution?

I suggest we get in touch; I will provide free technical consultation, we will develop a development plan, and I will tell you about my team!

Budget: 250 PLN Deadline: 15 days

Hello,
I just came across your project description and reviewed the attached file. I have extensive experience in this field and am confident that I can handle your project successfully. I'd love the opportunity to discuss it with you further.

Best regards,

Ignatz Boosinger

Budget: 1800 PLN Deadline: 10 days

Hello
Rich experience in development, especially in these technologies.
Worked with Allegro
Ready to discuss in detail, and subsequently support your project.

Budget: 1900 PLN Deadline: 15 days

Hello, Oksana!

I can create a complete Allegro analytical system as described — with automatic report loading, ETL processing, PostgreSQL data warehouse, and data marts for business analytics.

Key deliverables:
ETL scripts (Python 3.11+, pandas/polars) with over 80% test coverage

DWH schema (PostgreSQL 16) + DDL scripts + ERD

Setup in Docker + GitHub actions (CI/CD)

Logging (errors, metrics)

Data marts with aggregated KPIs (sales, return on investment, etc.)

Full documentation: setup, data dictionary, architecture, frequently asked questions

I am ready to start immediately. Let me know if you want to see sample files or contact me.

Best regards,
Georgios Tutudakis Expand

Budget: 1600 PLN Deadline: 6 days

Hello, Oksana! I have reviewed your documentation and understood that you want to create an automated data processing system with a focus on ETL, secure storage, and data readiness for analytics.
My approach involves building a scalable and modular ETL pipeline in Python with deployment based on Docker and GitHub Actions for CI/CD.
I will ensure secure storage, versioning, and processing of all reports in a PostgreSQL data warehouse with clean schemas and verified data marts for BI access.
I will use tools such as Pandas or Polars for efficient transformations, PostgreSQL 16 for organizing the storage, and Docker to ensure reproducibility. The package will include logging, unit test coverage, and complete documentation.
I have successfully developed similar pipelines for integration with marketplaces, providing automated reception, transformation, and delivery of data to analysts in production environments.

Which do you prefer: Airflow or a lightweight scheduler for orchestration and monitoring?

Looking forward to working together.
Best regards,
Tatyana Expand

Budget: 75 PLN Deadline: 1 day

Hello.
I have read your project with interest. I am confident that I can do effective and high-quality work that meets your requirements and expectations. Over 8 years of experience.