• Projects 15
  • Rating 5.0
  • Rating 7 807

Budget: 5000 UAH Deadline: 30 days

Hello!

Directly connecting PowerBI to several disparate databases and local Excel files creates a fragile architecture that will start to "crash" your servers when generating the first massive report. As my current project with complex data integration of SAP and OpenCart shows, trying to work with "raw" streams without an intermediate storage turns business analytics into a generator of system failures and inaccurate figures.

Abandoning data chaos "on the wire": Collecting metrics via API from various sources directly into the visualizer creates a critical bottleneck. It is necessary to implement an ETL (Extract, Transform, Load) architecture for centralized extraction, cleansing, and normalization of data from clouds, servers, and Excel into a single storage (Data Warehouse), and only from there safely deliver them to PowerBI.

Isolating analytics from production: Pulling arrays for reports directly from working servers means creating uncontrolled load on active databases. Analytical queries should refer to an independent, prepared copy of the data to avoid blocking transactions and slowing down current business processes.

Eliminating logic conflicts: Manual Excel spreadsheets and disparate SQL databases always have different formats and structures. Without prior strict standardization in the intermediate database, your consolidated dashboards will inevitably start to produce distorted metrics and discrepancies when trying to merge them.

  • Projects 9
  • Rating 5.0
  • Rating 656

Budget: 700 UAH Deadline: 1 day

Good day, Maxim!
In general, the task is clear, but for an accurate response regarding deadlines and price, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages – we will discuss the details and your wishes.

  • Projects 4
  • Rating 5.0
  • Rating 801

Budget: 7000 UAH Deadline: 6 days

Hello.

I can set up data retrieval via API from a cloud database to a separate server and build reports in Power BI based on data from multiple databases and Excel sources.

In such tasks, it is important to first properly organize the synchronization scheme, data structure, and logic for merging sources, and only after that to collect stable reporting in Power BI.

What is included in the work:
API sync to a separate server
preparation and normalization of the data structure
merging multiple databases and Excel sources

  • Projects 5
  • Rating 5.0
  • Rating 667

Budget: 1000 UAH Deadline: 2 days

Hello! I am interested in your project. I have extensive experience in:

📊 Data processing: working with databases, structuring and analyzing information, automating the processing of large volumes of data, import/export and validation;
🤖 Automation and emulation of user actions; development of bots of varying complexity;
⚡️ Asynchronous and multithreaded parsing: collecting and processing data with performance optimization;
🔍 OCR and text search: recognition and structuring of information;
🖼 Media processing: working with images and multimedia;
🖥 Software development, desktop applications, system services and utilities;
📱 Mobile development: native and cross-platform applications;
🌐 Working with APIs and third-party services: integration, automation, and data exchange;

  • Projects -
  • Rating -
  • Rating 286

Budget: 15000 UAH Deadline: 7 days

Hello!
I have been working in data analytics for over 5 years, with experience in SQL, Python, and BI tools, particularly Power BI. I regularly set up automated data pipelines and create management dashboards for businesses that do the most important thing - help make decisions.

I can assist with data integration through API, setting up automatic uploads to the server, and building reports in Power BI from data from various sources (databases and Excel).

  • Projects -
  • Rating -
  • Rating 893

Budget: 1000 UAH Deadline: 1 day

Good day, Maxim.

The key task is to ensure stable data synchronization from a remote storage and combine it with local sources for analytics. The main risk is the fragmentation of formats and delays in obtaining information.

To address this, implement the ETL process: data will be retrieved via REST API and stored in a structured format in PostgreSQL. This will allow PowerBI to quickly query a single source rather than multiple fragmented servers or files.

This approach will simplify dashboard updates and ensure data integrity.

Documentation and source code are included.

  • Projects -
  • Rating -
  • Rating 241

Budget: 5000 UAH Deadline: 5 days

Hello Maxim,

I have over 4 years of commercial experience in structuring and visualizing information in Power BI, ready to take your order into work after clarifying the details regarding reports and data sources.

  • Projects 43
  • Rating 4.6
  • Rating 4 975

Budget: 1000 UAH Deadline: 3 days

Good day!

I have experience in data integration via API from cloud databases to other servers. I professionally set up complex reports in PowerBI, combining data from various databases and Excel. I am ready to implement your project.

Write to me in private messages, and we will discuss the details.

  • Projects 4
  • Rating 4.9
  • Rating 976

Budget: 20000 UAH Deadline: 7 days

Good day
My name is Dmytro, from King Kong Web

We can set up data retrieval via API from a cloud database to another server and implement stable synchronization. We will connect everything correctly, with error handling and logging, so that the transmission works reliably.

We will also assist with Power BI: we will set up connections to several databases on different servers, add data from Excel, combine them into a single model, and create the necessary reports and dashboards.

We are ready to discuss the details of access and data structure, after which we will provide timelines and costs.

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