• Projects 23
  • Rating 4.9
  • Rating 4 846

Budget: 1500 UAH Deadline: 2 days

Good day.

I can take on the task of transferring ETL logic and code to another Linux server.

I work with Python, SQL, PostgreSQL, deploying scripts/ETL on Linux, cron/systemd/Docker, environment variables, and connections to external services. I can also work with BigQuery through a service account/API client, depending on how it is currently implemented in your code.

What I will do:
— review the current code and dependencies;
— transfer the logic from the Google environment to the new server;
— set up connections to BigQuery and PostgreSQL;

  • Projects -
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  • Rating 446

Budget: 700 UAH Deadline: 3 days

Good day! I have done exactly such migrations — transferring ETL processes and dashboards from Google to my own Linux server, I constantly work with BigQuery and Postgres. If the code is functional, it is usually sufficient to transfer it carefully and adjust it to the new environment without reworking the logic. I am ready to take this on, approximately 3 days. Just let me know — are we migrating to your VPS (which distribution?), and does the dashboard remain in Power BI Service or is it moving as well?

  • Projects -
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  • Rating 525

Budget: 1800 UAH Deadline: 3 days

Hello, Yevhen! The task is clear - to transfer the ETL logic from Google Cloud to a Linux server while maintaining the work with BigQuery and PostgreSQL. I work with Python, Linux (ETL processes, cron/systemd), BigQuery API (via service account), and PostgreSQL - this is my stack. Plan: I will review the current code and dependencies, set up the environment on the server, transfer the connections to BigQuery and PostgreSQL, configure the scheduled auto-start, and update the dashboards. A few clarifications: what is the dashboard platform (Power BI Service or Desktop, Grafana, Metabase)? Is there already a target Linux server and access? This will affect the precise timeline estimation.

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  • Rating -
  • Rating 196

Budget: 12000 UAH Deadline: 5 days

We already have a practically ready similar solution that can be quickly adapted to your ETL and launched on a Linux server; we can discuss it here in the project, I am available =)
700 UAH will only be enough for a brief code review; I would estimate the complete transfer of logic from BigQuery and PostgreSQL at around 12000 UAH, approximately 4-5 days after access.
Regarding the implementation, I see it like this - check the current code and dependencies, extract environment variables, configure connections to BigQuery and PostgreSQL, transfer the ETL launch to the server, add logs, a scheduler, and a test run.
From you, I need access to the current Google environment, the repository or code archive, BigQuery, PostgreSQL, and the target server.
Questions - is the code currently running through Cloud Functions, Cloud Run, Composer, or another Google service?
And secondly - does BigQuery remain the data source, or does everything need to be transferred to PostgreSQL?
Similar content examples - https://business.ingello.com/platforma - a corporate platform with business logic, data, and server-side.
https://business.ingello.com/forma-bpm - process automation, where the reliability of scenarios, roles, data, and execution control is important.
About us and the work format - https://systems-fl.ingello.com/ua

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  • Rating 199

Budget: 700 UAH Deadline: 1 day

Hello!

I have experience working with databases, I can implement ETL processes on the server, set up Google server operations, and adjust the code if necessary.

Always in touch, we will do it well, I will be happy to collaborate!

  • Projects 53
  • Rating 5.0
  • Rating 7 123

Budget: 700 UAH Deadline: 1 day

Worked with similar cases: ETL on Linux, BigQuery as a source, Postgres as a target storage or vice versa. Most likely, the task comes down to setting up pipelines on a new server, reconfiguring connectors, and, if necessary, adapting the logic to a different environment. Question: Is the dashboard in Power BI connected directly to BigQuery or are the data first aggregated in Postgres and then pulled into the reports from there? Ready to discuss the details and estimate the workload.

  • Projects 49
  • Rating 5.0
  • Rating 3 651

Budget: 700 UAH Deadline: 1 day

Hello! I can transfer everything and set it up correctly so that everything works properly.

I would be happy to collaborate!

  • Projects 14
  • Rating 5.0
  • Rating 1 512

Budget: 1111 UAH Deadline: 1 day

Hello! I can implement it. Please message me privately to discuss all the details. I hope for cooperation!

  • Projects 5
  • Rating 4.9
  • Rating 1 753

Budget: 2000 UAH Deadline: 1 day

Good day!

Migrating ETL and dashboards to Linux while working with BigQuery and Postgres is my area, so the task is clear. I have deployed similar setups.

What I will do: I will transfer the logic and code from the Google server to your Linux server, deploy ETL processes (Python + scheduler/cron or Airflow — depending on the volume), connect BigQuery and Postgres, rewrite the code for the new environment if necessary, and update the information on the dashboards. I will ensure stability with logging so that the processes run automatically.

To be honest about the main volume factor: a lot depends on what the logic is currently running on Google — Apps Script, Cloud Functions, or Python on GCP VM. If it’s Python/scripts — the transfer is mostly "as is" with adaptation for the server (faster). If it’s Apps Script — part will need to be rewritten for Linux (more work). Therefore, I will provide an accurate estimate once I review the current code.

Please let me know: what is the current logic running on (Apps Script / Cloud Functions / VM), is the target Linux server already available with access, and is the database remaining in BigQuery or migrating to Postgres? This will determine whether it’s a straightforward transfer or a transfer + rewriting.

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  • Rating 423

Budget: 3500 UAH Deadline: 3 days

Hello!

The task of fully migrating ETL processes and databases from Google Cloud infrastructure to a dedicated Linux server with a transition to PostgreSQL is my main profile. I have extensive experience in developing Python pipelines, administering Linux, and refactoring SQL.

What exactly I will do within the project:

Database migration: I will transfer the table structure and historical data from BigQuery to PostgreSQL. I am well aware of the differences in syntax between these systems (working with dates, aggregation functions, and arrays), so I will adapt your SQL queries in the code correctly and without data loss.

Refactoring Python code: I will rewrite the connection logic in the existing code (replacing Google Cloud client libraries with PostgreSQL connectors such as psycopg2 or SQLAlchemy), optimizing queries for the new architecture.

Andrey K.
1 284 1
  • Projects 1 288
  • Rating 5.0
  • Rating 97 666

Budget: 3500 UAH Deadline: 2 days

Hello. I have extensive experience with Python. Can I review the project and get a more detailed description of the task?

  • Projects 5
  • Rating 4.8
  • Rating 764

Budget: 3500 UAH Deadline: 4 days

Good day, Yevhen!

I understand the task: to transfer the ETL logic from Google Cloud to a Linux server while maintaining work with BigQuery and PostgreSQL, and to update the dashboards.

Please clarify: what exactly is acting as the dashboard — Power BI Embedded, Grafana, Metabase? Because Power BI Desktop/Service does not run on Linux, and it is important to choose the right approach right away.

  • Projects 43
  • Rating 4.6
  • Rating 4 975

Budget: 700 UAH Deadline: 3 days

Good day!

I am ready to develop a Power BI dashboard. I have experience with ETL deployment on Linux, as well as working with BigQuery and PostgreSQL. I will transfer the logic and code, optimizing it for the new infrastructure if necessary.

Feel free to write, and we will clarify the details.

Dmytro Romanchuk

Dmytro Romanchuk

Winning proposal
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  • Projects 10
  • Rating 5.0
  • Rating 1 784

Budget: 3000 UAH Deadline: 3 days

Hello. I have a clear understanding of the task regarding the migration of ETL processes and dashboard logic from Google Cloud to a Linux server with BigQuery and PostgreSQL. I will design the architecture of the new solution, using Docker for containerization while ensuring optimal security, efficiency, and scalability during data transfer and code rewriting. I have significant experience in similar cross-platform migrations, as well as ready-made solutions and scripts that will significantly speed up the deployment and integration phase. I suggest discussing all implementation details, final budget, and timelines in private messages.

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