Processing of the dataset of financial reporting of enterprises data.gov.ua

Budget: 5000 UAH Deadline: 4 days

Hello! I have reviewed the financial reporting dataset on data.gov.ua. This is not a simple parsing task, but a data normalization task and correct separation of annual and quarterly forms.

I can offer a Python script with clear logic: processing and classification of reports (year/quarter), correct mapping of fields according to metadata, formation of a structured database (SQLite/PostgreSQL), and a description of the algorithm for further expansion by your programmer.

Before starting, I would like to clarify: for which years is the data needed, whether a complete history is required or selectively, and what format the final database should be in.

Budget: 5000 UAH Deadline: 5 days

Hello! I have extensive experience working with large datasets (Big Data) and open data (data.gov.ua). I will implement a reliable Python script (using Pandas/SQLAlchemy) for you that: Correctly loads and parses financial reporting data. Clearly separates annual and quarterly reports, avoiding duplication and confusion in the fields. Creates a structured database (SQLite/PostgreSQL/MySQL) with signed fields according to the metadata. Provides clear logs of the processing process. I have ready-made solutions for working with JSON/XML/CSV formats from state registries. I am ready to start processing the data structure immediately.

Budget: 5000 UAH Deadline: 1 day

Hello, Python developer with more than 5 years of experience. My main area is parsing, and I constantly create algorithms for data structuring. I can easily help you solve your task. Write to me privately; I am interested in what format you need the output data, what the database structure is, etc. I would be happy to discuss the details and move on to collaboration!

Budget: 5000 UAH Deadline: 1 day

Hello! I have worked with open financial datasets and report processing in Python. I can prepare a script or algorithm that correctly forms a database, properly processes fields, and distinguishes between annual and quarterly reports. I am ready to discuss the details.

Budget: 5000 UAH Deadline: 1 day

Hello, I am ready to quickly and efficiently complete the task. I have experience in performing similar tasks. I suggest discussing the details in private messages.

Budget: 5000 UAH Deadline: 1 day

Good day, I have experience in data scraping (there are examples in my portfolio). I want to see the complete technical specification (how much data, which fields to format, what format for output). Write to me in private messages.

Budget: 5000 UAH Deadline: 2 days

Hello. I am ready to implement it in Python, but I have a few questions. Which database exactly, and do you need data for all years or just 2024? I will handle normalization and structure, the fields will not be confused.