You will get SQL Server to Snowflake Migration + Azure Data Factory Pipeline
Rising Talent
Rising Talent
Project details
Still running analytics on SQL Server ? Every query is slower than it should be, maintenance costs keep growing, and scaling feels impossible.
Modern cloud analytics starts with the right foundation. We integrate your SQL Server and other data sources into Snowflake - giving you a scalable, cost-efficient data warehouse with automated pipelines and no manual maintenance overhead.
Instead of patching legacy infrastructure, you get a centralized Snowflake platform with domain-specific data marts, a secure view layer, and Azure Data Factory pipelines that keep everything up to date automatically.
We built this for Hydro - a global industrial company consolidating SAP · Oracle · APIs · Google Sheets · SharePoint and Salesforce into a unified Snowflake platform across 40 countries. Reporting cycles dropped from months of manual consolidation to a few hours.
You will receive a production-ready Snowflake data platform with automated pipelines, structured data marts, and clean architecture - backed by real enterprise experience.
Modern cloud analytics starts with the right foundation. We integrate your SQL Server and other data sources into Snowflake - giving you a scalable, cost-efficient data warehouse with automated pipelines and no manual maintenance overhead.
Instead of patching legacy infrastructure, you get a centralized Snowflake platform with domain-specific data marts, a secure view layer, and Azure Data Factory pipelines that keep everything up to date automatically.
We built this for Hydro - a global industrial company consolidating SAP · Oracle · APIs · Google Sheets · SharePoint and Salesforce into a unified Snowflake platform across 40 countries. Reporting cycles dropped from months of manual consolidation to a few hours.
You will receive a production-ready Snowflake data platform with automated pipelines, structured data marts, and clean architecture - backed by real enterprise experience.
Database Type
MySQL, MS SQL, Oracle, SQLite, PostgreSQL, TeradataWhat's included
| Service Tiers |
Starter
$700
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 6 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Queries | 5 | 15 | 30 |
Query Debugging | |||
Query Optimization | |||
Query Scheduling | |||
Query Analysis | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150 - $400
Additional Revision
+$50
Additional Query
(+ 1 Day)
+$40Frequently asked questions
3 reviews
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AL
Alina L.
Jun 15, 2026
You will get RLS Security - SQL Server / Snowflake Database + Power BI Dashboard
We weren't sure exactly what we needed but Dzianis quickly understood the problem and explained what RLS is and how it would work for our case.
The architecture document was detailed and practical — our team could work with it right away. He also spotted a couple of issues in our schema we weren't aware of.
Quick to respond, all questions resolved without back and forth. Will definitely continue working on the full implementation or other projects
The architecture document was detailed and practical — our team could work with it right away. He also spotted a couple of issues in our schema we weren't aware of.
Quick to respond, all questions resolved without back and forth. Will definitely continue working on the full implementation or other projects
VC
Vladimir C.
Jun 8, 2026
Senior Azure DevOps Data Analyst - Power BI Dashboard - Snowflake Data Warehouse - ETL Pipeline
Denis did an excellent job on this test project. He completed everything quickly, professionally, and with strong attention to detail.
What I especially appreciated is that he did not just follow the task mechanically, but also suggested a smart and non-standard solution that made the overall approach much stronger. He showed solid expertise in Azure DevOps · Microsoft Power BI · Dashboard development · Data Analysis · Database structure, ETL Pipeline logic, and Healthcare Business Intelligence .
His understanding of Data Engineering · Data Modeling · Data Visualization · Data Integration · Microsoft Azure SQL Database · Microsoft SQL Server · Snowflake and Data Warehousing was very clear from the way he approached the work. He also demonstrated strong technical thinking around scalable reporting systems and clean analytics architecture.
Communication was clear, delivery was fast, and the quality of work was exactly what we needed. Denis is a reliable, proactive, and skilled specialist with a good understanding of Python · Databricks Platform · Looker Studio · Data Science and Machine Learning concepts where they are relevant to analytics projects.
I really enjoyed working with him and would gladly recommend Denis to anyone looking for a strong Data Analyst · Power BI specialist or Business Intelligence expert. Highly recommended!
What I especially appreciated is that he did not just follow the task mechanically, but also suggested a smart and non-standard solution that made the overall approach much stronger. He showed solid expertise in Azure DevOps · Microsoft Power BI · Dashboard development · Data Analysis · Database structure, ETL Pipeline logic, and Healthcare Business Intelligence .
His understanding of Data Engineering · Data Modeling · Data Visualization · Data Integration · Microsoft Azure SQL Database · Microsoft SQL Server · Snowflake and Data Warehousing was very clear from the way he approached the work. He also demonstrated strong technical thinking around scalable reporting systems and clean analytics architecture.
Communication was clear, delivery was fast, and the quality of work was exactly what we needed. Denis is a reliable, proactive, and skilled specialist with a good understanding of Python · Databricks Platform · Looker Studio · Data Science and Machine Learning concepts where they are relevant to analytics projects.
I really enjoyed working with him and would gladly recommend Denis to anyone looking for a strong Data Analyst · Power BI specialist or Business Intelligence expert. Highly recommended!
IB
I B.
May 23, 2026
Senior Azure Data Architect to Design Enterprise Data Platform (ETL, Databricks, Power BI)
Dzianis did an outstanding job on our enterprise level Azure DevOps Data Engineering ETL Pipeline Data Modeling and Microsoft Azure SQL Database architecture consultation project.
He demonstrated deep expertise across Databricks Platform Snowflake Microsoft Power BI Microsoft Power BI Development Microsoft Power BI Data Visualization Dashboard Data Visualization and Looker Studio workflows. The proposed architecture for multi-source ingestion using Salesforce API and PostgreSQL into Azure Data Lake Gen2 was extremely well structured and scalable.
His understanding of Data Analytics Data Analysis Data Analyst workflows Database optimization Data Cloud architecture and enterprise Dashboard preparation was impressive. He also provided valuable recommendations around incremental loading CDC strategy storage layer organization and Power BI performance optimization.
In addition to strong Data Science Statistics Python and Machine Learning knowledge Dzianis communicated clearly delivered everything on time and approached the project with true senior-level ownership.
Highly recommend for any Azure DevOps Databricks Platform Snowflake Microsoft Power BI Data Engineering Data Analytics Database Dashboard or Data Visualization projects.
He demonstrated deep expertise across Databricks Platform Snowflake Microsoft Power BI Microsoft Power BI Development Microsoft Power BI Data Visualization Dashboard Data Visualization and Looker Studio workflows. The proposed architecture for multi-source ingestion using Salesforce API and PostgreSQL into Azure Data Lake Gen2 was extremely well structured and scalable.
His understanding of Data Analytics Data Analysis Data Analyst workflows Database optimization Data Cloud architecture and enterprise Dashboard preparation was impressive. He also provided valuable recommendations around incremental loading CDC strategy storage layer organization and Power BI performance optimization.
In addition to strong Data Science Statistics Python and Machine Learning knowledge Dzianis communicated clearly delivered everything on time and approached the project with true senior-level ownership.
Highly recommend for any Azure DevOps Databricks Platform Snowflake Microsoft Power BI Data Engineering Data Analytics Database Dashboard or Data Visualization projects.
About Dzianis
AI Solutions Architect | Make n8n | Azure Data Warehousing | Snowflake
100%
Job Success
Wroclaw, Poland - 11:42 pm local time
As an AI Solutions Architect I connect n8n · Make · Zapier · Microsoft Power Automate · OpenAI API · Claude API · Azure OpenAI · Python · REST API · Webhooks · databases · Snowflake · Azure Data Warehousing & Power BI
My work combines three layers
AI Automation
Data Integration
Cloud Architecture
I help when a team has manual processes between CRM platforms · ClickUp · Airtable · HubSpot · Notion · Google Sheets · internal tools · databases · APIs & reporting systems
I design the full path from business process to Workflow Automation to API Integration to Database Integration to AI Agent Development to Error Handling and Monitoring to Dashboard Automation
Typical projects include
▪ AI Agent Development for internal operations · support · analytics · document processing · knowledge search & repetitive tasks
▪ n8n AI Agents connected to OpenAI API · Claude API · Azure OpenAI · LangChain · Supabase · REST API · Webhooks & company data
▪ RAG Systems · AI Chatbots · Conversational AI & company knowledge workflows
▪ AI Workflow Automation for approvals · notifications · enrichment · validation · routing · synchronization · reporting & human review
▪ Business Process Automation with n8n · Make · Zapier · Microsoft Power Automate · Google Apps Script & Python
▪ CRM Automation · ClickUp Automation · lead routing · task creation · pipeline updates · reminders & reporting
▪ API Integration · Third-Party Integration · Data Integration · Database Integration · REST API workflows & custom Webhooks
▪ ETL Automation · Data Extraction · Data Transformation · Scheduled Workflows · monitoring · recovery logic & documentation
▪ Power BI Automation · Dashboard Automation · Automated Reporting · KPI logic · Data Modeling & reporting-ready databases
I do not choose a tool before understanding the process
n8n supports flexible Workflow Automation · self-hosted systems · custom logic · AI Agent Development & complex API Integration
Make supports fast business integrations · visual workflows · SaaS connections · CRM Automation & operational prototypes
Python supports Workflow Automation that requires custom algorithms · advanced Data Transformation · scale · testing or deployment control
Before development I define business rules · workflow states · data ownership · access permissions · human approvals · exception handling · monitoring · retries · audit logic · deployment structure & reporting requirements
A strong AI solution needs trusted data · secure Database access · clear Solution Architecture · reliable API Integration · controlled Workflow Automation · monitoring · documentation & measurable business output
My architecture background includes Azure Data Warehousing · Snowflake Database · Azure Data Factory · Azure DevOps · Databricks Platform · Microsoft Azure SQL Database · Microsoft SQL Server · ETL · Data Modeling · Business Intelligence & Microsoft Power BI
For Azure projects I design Azure Cloud Architecture · Azure Data Warehousing · Azure Data Factory pipelines · Azure DevOps delivery · CI/CD · Terraform · Git · deployment control & Azure OpenAI integration
For Snowflake projects I work with Snowflake Database architecture · Snowflake Data Warehousing · Data Integration · ETL Automation · dbt workflows · reporting layers · access logic · performance review · cost control & Power BI connectivity
One enterprise Azure engagement included scalable multi-tenant architecture · strict data isolation · Azure Databricks processing · infrastructure cost reduction & multilingual Power BI reporting
Another long-term engagement expanded from Power BI reporting into automated data validation · incremental refresh · data reliability improvements & third-party service integration
I connect AI Automation to the data foundation
I connect reporting to reliable ETL and Database Architecture
I work across Automation Architecture · Solution Architecture · Cloud Architecture · Cloud Data Architecture · Database Architecture · AI Solution Architecture & AI Data Architecture
If your AI Agent cannot access trusted company data I can design the Data Integration and Database Integration layer
If your Workflow Automation fails without visibility I can add Error Handling and Monitoring · retries · alerts · audit logic & recovery workflows
If your reporting depends on manual exports I can connect ETL Automation · Azure Data Warehousing · Snowflake Database · Power BI Automation & Automated Reporting
If your prototype needs to become a production system I can define the Solution Architecture · security model · data flow · deployment process · monitoring structure & technical roadmap
Send me your process · tools · data sources & expected outcome
🏆 Wait, you’ve actually made it to the very end!
Mention "1 in 100" in your first DM and I will provide a discount😉
Steps for completing your project
After purchasing the project, send requirements so Dzianis can start the project.
Delivery time starts when Dzianis receives requirements from you.
Dzianis works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Requirements Meeting
We schedule a short call to review your SQL Server setup, database structure, and integration requirements. This ensures the Snowflake architecture and pipeline design are aligned with your existing environment before development begins.
Snowflake Architecture & Data Mart Design
We design the Snowflake warehouse structure to match your SQL Server schema - separate data marts, optimized layout, and a secure view layer that protects raw source data from direct access.