You will get Azure Databricks Platform + Azure DevOps ETL Pipeline Database Developer
Rising Talent
Rising Talent
Project details
Is your team wasting budget on idle cloud clusters and slow data processing? Are your deployments manual, risky, and prone to breaking environment configurations?
Most Databricks setups start simple and become expensive fast. Separate environments per customer or department, unoptimized clusters running idle, no CI/CD framework - the result is a platform that costs more every month without delivering more value.
We configure your Azure Databricks platform for high performance and build automated ETL and CI/CD pipelines via Azure DevOps - giving you a scalable, secured, and cost-efficient data environment from day one.
We built this for a fast-growing technology company - redesigning fragmented per-customer infrastructure into a unified multi-tenant Azure Databricks workspace. Infrastructure costs dropped from €120,000 to €50,000 per month - 58% savings, over $1M per year - while maintaining strict data isolation per customer.
You will receive a production-ready Databricks platform with automated pipelines, optimized compute, and clean architecture - backed by real enterprise experience.
Most Databricks setups start simple and become expensive fast. Separate environments per customer or department, unoptimized clusters running idle, no CI/CD framework - the result is a platform that costs more every month without delivering more value.
We configure your Azure Databricks platform for high performance and build automated ETL and CI/CD pipelines via Azure DevOps - giving you a scalable, secured, and cost-efficient data environment from day one.
We built this for a fast-growing technology company - redesigning fragmented per-customer infrastructure into a unified multi-tenant Azure Databricks workspace. Infrastructure costs dropped from €120,000 to €50,000 per month - 58% savings, over $1M per year - while maintaining strict data isolation per customer.
You will receive a production-ready Databricks platform with automated pipelines, optimized compute, and clean architecture - backed by real enterprise experience.
Database Type
MySQL, MS SQL, Oracle, SQLite, PostgreSQL, TeradataWhat's included
| Service Tiers |
Starter
$700
|
Standard
$2,000
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Queries | 2 | 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 - $500
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 Data Warehouse Architect | Looker Studio Dashboard & BigQuery | ETL
100%
Job Success
Wroclaw, Poland - 8:47 am local time
As a Data Analyst & Data Engineering specialist I help companies turn scattered data into trusted reporting systems using:
Azure DevOps
Snowflake
Microsoft Power BI
Microsoft Azure SQL Database
Microsoft SQL Server
Azure Data Factory
Databricks Platform
modern Data Warehousing architecture
My core focus is simple:
Azure DevOps for reliable delivery
Power BI Dashboard systems for executive reporting
Database architecture for real scale
Snowflake for scalable Data Warehousing
ETL Pipeline automation for stable data flow
Data Analyst thinking behind every business metric
I usually help when data is spread across:
SQL Server
Microsoft Azure SQL Database
PostgreSQL
MySQL
NoSQL
APIs
ERP systems
Excel files
Google Sheets
Snowflake
Azure Data Factory
Azure Data Platform
Azure Databricks
Databricks Platform
dbt data build tool workflows
I design the full path from raw data to business reporting:
Data source to ETL Pipeline to Database to Data Warehousing to Data Modeling to Data Analysis to Power BI Dashboard to Data Visualization
For Azure projects I use Azure DevOps · Azure Data Factory · Git · Terraform · CI/CD · DataOps · structured deployment workflows to make Data Engineering predictable. Azure DevOps is especially useful when your ETL Pipeline needs version control · automated releases · environment separation & stable deployment
For Snowflake projects I design Snowflake Database architecture · Snowflake Data Warehousing · Snowflake cost optimization · dbt data build tool workflows · Database layers · Data Integration logic & reporting-ready Data Modeling. A Snowflake system should not just store data. It should make every Dashboard faster · cleaner & easier to trust
For Power BI projects I work across the full lifecycle:
requirements
Database audit
ETL Pipeline logic
Data Modeling
DAX
KPI Scorecards
KPI Dashboards
Dashboard Design
Microsoft Power BI reporting
Microsoft Power BI Data Visualization
Power BI Developer support
Power BI Expert consulting
Power Bi Report Builder
performance tuning
A recent Azure Data Architect project included ADF ingestion workflows + incremental & full-load pipelines + reusable templates + logging + scheduling + error handling + schema drift handling & bronze layer reliability. That is the type of practical Data Engineering foundation I build before dashboards are created
I can help with:
▪ Azure DevOps workflows for CI/CD · Git · Terraform · DataOps & controlled data releases
▪ ETL Pipeline and ETL Pipelines architecture with Azure Data Factory · SQL · Python · APIs & dbt
▪ Snowflake Database architecture · Snowflake Developer tasks & Snowflake Data Warehousing
▪ Microsoft Azure SQL Database · Microsoft SQL Server · SQL Database · SQL Server · PostgreSQL ▪ MySQL & NoSQL optimization
▪ Databricks Platform & Azure Databricks workflows for scalable processing
▪ Data Modeling with star schema · DAX · semantic models · KPI logic & Database reconciliation
▪ Microsoft Power BI Dashboard development for finance · healthcare · sales · SaaS · ecommerce & operations
▪ Data Visualization · Dashboard Design · Looker Studio · Tableau Dashboard migration & Excel Dashboard migration
▪ Business Intelligence · KPI Dashboard · KPI Scorecards · Automated Reporting & Reporting Tool setup
▪ Python automation · Python Data Analysis · Data Science · Machine Learning · Statistics Data Analysis · Data Analytics & MLOps-ready reporting
If your Database is slow I optimize the structure
If your ETL Pipeline is unstable I redesign the workflow
If your Snowflake warehouse is expensive I review the architecture
If your Power BI Dashboard is beautiful but unreliable I rebuild the Data Modeling layer
If your reporting still lives in Excel Dashboard files I migrate it into a scalable Power BI Dashboard & Database setup
If your team needs:
Database Architect
Azure Data Engineer
Data Engineer
Data Analyst
Power BI Developer
Snowflake Architect
Business Intelligence specialist
I can help define the right technical path before development starts
I'm not just a Power BI developer. I work as a Data Analyst · Data Engineer & Data Architect who understands how raw data becomes business value
I also help teams with:
Data Quality
Data Governance
Data Cleaning
SQL Reporting
Power BI Reporting
Database Documentation
KPI logic stakeholder-ready dashboards for ongoing business decisions
Send me your current reporting problem & I will show you how I would structure:
Azure DevOps workflow
Snowflake Database
ETL Pipeline
Data Modeling
Microsoft Azure SQL Database layer
Power BI Dashboard
⭐⭐⭐⭐⭐
🏆 Wait, you’ve actually made it to the very end!
I highly value your attention to detail and professional approach. As a reward for your genuine interest, I’ll grant you a discount. Just mention "1 in 100" in your first DM.
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 data sources, processing requirements, and infrastructure setup. This ensures the Databricks architecture and pipeline design are aligned with your environment before development begins.
Databricks Architecture & Pipeline
We design the workspace structure, cluster configuration, and ETL pipeline logic - optimized for your data volumes, update frequency, and cost efficiency from the start.