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You will get Python Machine Learning Snowflake Database Data Analysis Pipeline

Dzianis M.Status: Offline
Dzianis M. Dzianis M.
5.0
Rising Talent

Let a pro handle the details

Buy Machine Learning services from Dzianis, priced and ready to go.
Dzianis M.Status: Offline
Dzianis M. Dzianis M.
5.0
Rising Talent

Let a pro handle the details

Buy Machine Learning services from Dzianis, priced and ready to go.

Project details

Go beyond basic business intelligence. Predict future business trends with data models.

Are your current static dashboards only telling you what happened in the past? Do you want to use predictive analytics to forecast your sales and customer churn?

I will build advanced Python and Machine Learning models on your Snowflake Database or Azure Databricks Platform . Turn raw historical records into forward-looking Data Analysis .

Azure DevOps Data Analyst Power BI Dashboard Snowflake Database Azure DevOps Data Analyst Power BI Dashboard Snowflake Database Azure DevOps Data Analyst Power BI Dashboard Snowflake Database Azure DevOps Data Analyst Power BI Dashboard Snowflake Database Azure DevOps Data Analyst Power BI Dashboard Snowflake Database Azure DevOps Data Analyst Power BI Dashboard Snowflake Database Azure DevOps Data Analyst Power BI Dashboard Snowflake Database Azure DevOps Data Analyst Power BI Dashboard Snowflake Database Azure DevOps Data Analyst Power BI Dashboard Snowflake Database Azure DevOps Data Analyst Power BI Dashboard Snowflake Database Azure DevOps Data Analyst Power BI Dashboard Azure DevOps Data Analyst Power BI Dashboard Snowflake Database Azure DevOps Data
Machine Learning Tools
Azure Machine Learning, Databricks Platform, Databricks MLflow, Google Sheets, Microsoft Excel, Microsoft Power BI, Python, SQL, Tableau

What's included $10,000

These options are included with the project scope.

$10,000
  • Delivery Time 30 days
  • Number of Revisions 0
    • Model Validation/Testing
    • Model Documentation
    • Data Source Connectivity
    • Source Code
5.0
1 review
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IB

I B.
5.00
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.
Dzianis M.Status: Offline

About Dzianis

Dzianis M.Status: Offline
Azure Devops | Power Bi Dashboard Database | Data Analyst | Snowflake
5.0  (1 review)
Wroclaw, Poland - 12:48 am local time
📊 I created Enterprise Data Platforms & Reporting Systems where every Power BI Dashboard is backed by a clean Database + reliable ETL Pipeline + strong Data Modeling & practical Data Analysis

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.

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