Budget: 50000 UAH Deadline: 7 days
Good day. I am ready to complete this project as I have extensive experience in app development.
We need a contractor to build BigQuery as a single repository for marketing and sales data, connect LIS (Terra), GA4, Google Ads, Meta Ads, eSputnik, Binotel, offline expenses, build Power BI dashboards, and set up the transfer of quality conversions back to advertising systems.
More detailed specifications can be found at the link: https://docs.google.com/spreadsheets/d/1Mn2eFdh5ySCPgV5khBETVpZ4ARcblpS3xab3nQeku3c/edit?usp=sharing
Budget: 50000 UAH Deadline: 7 days
Good day. I am ready to complete this project as I have extensive experience in app development.
Budget: 10000 UAH Deadline: 7 days
Good day
For such tasks, it is important to first check that all necessary data is available and can be linked together. Without this, the implementation assessment will be inaccurate.
We can start with a brief call to quickly go through the current system, understand possible limitations, and determine what implementation stages will be needed.
The next step would be to conduct a full audit: check for the availability of all necessary data, identify real limitations in system linkage, and form the structure of the final reports/dashboard that will result.
After this, we will be able to propose an optimal architecture and more accurately assess the MVP.
Budget: 46500 UAH Deadline: 10 days
Hello! I see that we need to create a single repository for marketing and sales based on BigQuery. The task is clear. I will connect all necessary systems, set up the data collection logic in BigQuery, and display the results in Power BI dashboards. The most challenging part here is to correctly configure the conversion returns in the advertising accounts so that the data remains clean and the statistics do not get skewed. I will place special emphasis on this.
Budget: 90000 UAH Deadline: 45 days
Hello!
You have approached the technical specification very thoroughly. It is described in great detail. Could you let me know if you consider options where one person works on the implementation of all this? I am a specialist in Big Data, ETL, and BI, but this will take some time - possibly 4-6 weeks. Would such conditions work for you?
Budget: 55000 UAH Deadline: 10 days
Good day
My name is Dmytro
I have reviewed the task — I can help build a centralized analytics system based on BigQuery with a proper data structure and further marketing automation
What we can implement:
— BigQuery as a single data repository
— integrations with Terra / GA4 / Google Ads / Meta Ads / eSputnik / Binotel
— uploading offline expenses and sales
— automatic data updates
— Power BI dashboards for marketing and sales
— passing quality conversions back to Google Ads and Meta
We can also assist with:
— data normalization
— attribution
— building KPI and ROI analytics
— server-side tracking / conversion upload
We work with similar integrations and understand how to build a system so that it is scalable and does not "fall apart" after a month
I would be happy to discuss the project 👍
Budget: 58000 UAH Deadline: 10 days
You need integration of BigQuery as a single repository for collecting marketing and sales data. The complexity lies in correctly setting up data transfer from multiple systems and building dashboards for analyzing results. I propose to implement integration with each of the specified platforms, set up the data structure in BigQuery, and develop Power BI dashboards for visualization. It is important to consider that setting up conversion tracking back to advertising systems requires special attention to data quality.
However, before starting work, I would like to clarify some points: what specific data do you plan to store in BigQuery, what data structure do you provide, and are there specific KPIs for measuring the success of the integration? This will help better plan the technical implementation and avoid potential risks in the process.
Given the architectural complexity of the project and the scope of work, I estimate the cost of implementation at 58,000 UAH, with a completion timeframe of 10 days. If you are interested, let's discuss the details and plan the next steps.
Budget: 45000 UAH Deadline: 14 days
The task is clear: to gather all marketing and sales sources in BigQuery, build Power BI dashboards, and close the loop by sending conversions back to advertising systems.
I am doing this through Airbyte/Fivetran or custom connectors for Terra/Binotel/eSputnik, where there are no ready-made ones. GA4 and advertising platforms are native connectors. Conversions back are through the Conversions API (Meta) and Google Ads API.
I reviewed the technical specifications — please clarify: does Terra provide data through API or only file exports?
About the project and tasks We have a small sales department (sales department head + 2 managers) and a database of about 220 active clients. There is an urgent need to implement a simple CRM as an operational level so that managers can record calls, agreements, and statuses in the sales funnel in real-time, while management can see which clients are "stuck" at a certain stage. At the same time, we actively use AI analytics (Claude) for working with exports, reports, anomaly detection, and P&L analysis. Therefore, the CRM is needed as a clean data source from which quality exports can be generated. What needs to be done (Stage 1 — Implementation) Audit and solution selection. Finally determine the platform together with us. We are considering Ukrainian solutions (KeyCRM or SalesDrive) as integration with Ukrainian telephony and Nova Poshta is important. We are also open to considering Pipedrive. System setup. Creating a sales funnel, client cards, and configuring fields according to our specifics. Integrations. Connecting telephony, messengers, and Nova Poshta. Data import. Correct transfer of the existing client base (about 220 contacts) from current files. Training. A brief briefing for the sales department head and two managers on the rules for managing deals to ensure data cleanliness and quality in the CRM. Further tasks (Stage 2 — Support) Technical support and refinement of automations during the work process. Monitoring the correctness of data exports for further AI analytics. Who we are looking for A specialist with experience in implementing KeyCRM, SalesDrive, or Pipedrive (please include examples or cases in your response). A person who understands the principles of building sales analytics and can configure data exports without "garbage". A responsible specialist ready for long-term cooperation and project support. In your response, please indicate Your experience with KeyCRM, SalesDrive, or Pipedrive. Estimated cost and time for basic setup for our team (3 users). Whether you are ready to further administer the system and under what conditions.
About the Company Trading company. We work with a product group of more than 2000 items across different categories.Current Situation Currently, the nomenclature is maintained in Google Sheets — data is consolidated by tabs (categories). Tab Structure: Product name Price groups: cost price, wholesale, retail Characteristics: weight, quantity per package, etc. Important: the number of columns varies for different product categories, as they have different characteristics.Why the Current Solution is Inadequate Google Sheets does not allow setting access rights at the level of individual columns. We need to: Grant users rights to view certain columns (for example, only cost prices) Grant rights to edit certain columns (for example, retail prices) While restricting access to other columns in the same tabWhat Needs to Be DoneMain Requirements Flexible Rights Management System Access at the level of individual columns (read/write) Assignment of rights by roles or users Management of rights without the involvement of programmers Support for Different Data Structures Different product categories have different sets of characteristics Adding new columns/characteristics without programming Independence from Developers Administration by internal staff Adding categories, columns, users — through the interface Integration with ERP Exporting current prices to our ERP system Export or automatic integration via API Data Analysis Using AI (preferably) Ability to analyze the entire nomenclature list Enrichment, verification, recommendations — if you have ideas, please describeExpected Result A working solution in which: The nomenclature is structured by categories with different sets of characteristics Column rights are flexibly configured (view/edit) Data is exported to ERP The team can manage the system independentlyWhat We Need from You When Responding Describe in general terms how you envision the solution: What tool/platform do you propose
A deep technical verification of three PDF files for authenticity and possible signs of editing or forgery is required. Not only a visual assessment of the documents is needed. The performer must have a good understanding of the internal structure of PDF files and be able to analyze: file metadata; PDF structure and individual objects; creation history and possible editing; software used; embedded fonts, images, layers, and other elements; possible signs of re-saving, conversion, modifications, or backdating of the document; any technical discrepancies that may indicate manipulation of the files. Based on the verification results, a clear written conclusion regarding each file must be provided, indicating the identified signs, risks, and limitations of the verification. We are considering specialists who have practical experience in digital forensics, PDF document analysis, metadata, or verifying electronic files for authenticity. In your response, please briefly describe your experience, methods, and tools that you use for such verification.
General information It is necessary to develop a simple minimalist web system, the main purpose of which is to maintain a client database, create appointments for visits, and automate the process of confirming visits via SMS, sending one-time links through the API from the service itself. The project is being developed in stages. In the first stage, it is necessary to implement only the basic functionality (MVP) so that the system can be used in real work. After launch and testing, it will gradually be expanded with new modules.Main functionality of the first stage User authorization; Client database; Creating and editing appointments; List of appointments (or a simple calendar); Switching between points of sale; Integration with the SMS operator via API; Sending SMS with any text or link for visit confirmation; Confirmation or cancellation of the visit by the client via a one-time link; Displaying the confirmation status directly next to the client's appointment. At the initial stage, instead of a full calendar, the use of a simple list of appointments by days is allowed. Each day should contain a chronological list of bookings indicating the time, client's name, service, employee, and confirmation status. Later, this list can be replaced with a full calendar without changing the system structure. The system must have the ability to switch between points of sale. Each point of sale has its own list of appointments (or calendar), but they all use a common client database.
Hello. I am looking for a mentor in Linux. I have experience as a strong junior DevOps specialist, but Linux and Kubernetes are my weak points. While I have some project experience with Kubernetes, my interaction with Linux is very superficial. Creating something, adding, renaming, opening, etc. is clearly not enough. I need a mentor who can help me improve in this area. The main task is to ensure that the knowledge sticks in my head, possibly through some pet project, tasks, or something along those lines, rather than just "repeat after me." I have taken courses on my own, but they don't particularly "stick" in my head. Here is a rough list of what I think I need: - Linux/Unix systems — in-depth administration of operating systems, file systems, user and access rights management, processes and services (systemd), Bash scripting, logging, monitoring, security configuration, automation of administrative tasks; - Networking technologies — OSI model and TCP/IP stack, DNS, HTTP/HTTPS, SSL/TLS, SSH, VPN, load balancing, proxy servers, NAT, routing, network utilities (ping, traceroute, netstat, ss, tcpdump, curl), diagnosing and troubleshooting network issues; If Kubernetes can be added to this list, that would be great. Perhaps you can suggest something from your side. The format of the sessions, as I see it, is twice a week, meetings, discussions, consultations. More details can be your ideas and suggestions. Regarding the cost per hour or per month - please propose.