Ali Yunuskhodjaev
I’m Ali Yunuskhodjaev, a senior Data Engineer and Data Architect with 11+ years of experience designing and building enterprise data platforms, modernizing data warehouses/lakehouses, and delivering reliable analytics…
About
I’m Ali Yunuskhodjaev, a senior Data Engineer and Data Architect with 11+ years of experience designing and building enterprise data platforms, modernizing data warehouses/lakehouses, and delivering reliable analytics and BI solutions. I’ve worked end-to-end across cloud and hybrid environments—turning source systems (relational and NoSQL) into governed, scalable ETL/ELT pipelines with strong data quality, operational monitoring, and production support.
In my recent role at SuiteSpot Technologies, I lead the architecture and hands-on implementation of a multi-tenant production analytics platform that integrates MongoDB, AWS S3/Parquet, Snowflake, and Power BI for dozens of client schemas. I enjoy building reusable dimensional models and secure semantic layers, automating deployments through CI/CD, and improving performance while keeping stakeholders confident through validation, reconciliation, and clear observability from DEV to QA to PROD.
- 12 years' experience
- Joined September 2026
Industry experience
- Professional Services
- Software & Internet
Work experience· 5 roles
Lead architecture and hands-on delivery of a production multi-tenant analytics platform for ~50 client schemas across MongoDB, AWS S3/Parquet, Snowpipe/Snowflake, and Power BI. Designed scalable batch and near-real-time ETL/ELT with CDC/incremental logic, JSON/Parquet parsing, deduplication, idempotent MERGE, late-arriving data handling, and hard-delete processing. Built warehouse transformation and modeling layers using Snowflake Streams/Tasks, Dynamic Tables, stored procedures, secure views, dimensional structures, reusable data marts, and SCD Type 1/2 patterns. Engineered Power BI semantic models and embedded analytics with DAX, Power Query, REST/Core APIs, XMLA, and RLS. Implemented data quality and operational controls for freshness/volume/schema drift/consumption and BI refresh health with retries and reprocessing. Automated tenant provisioning and DEV/QA/PROD releases using GitHub, Azure DevOps, Snowflake CLI/SnowSQL, PowerShell/Azure CLI, and metadata-driven deployment scripts.
Built and supported cloud/hybrid warehouse and reporting solutions using Azure Data Factory, SQL Server, Snowflake, Azure Synapse, and Spark/PySpark/Databricks. Orchestrated 8+ high-volume pipelines and improved processing efficiency by ~30%. Planned and executed migration of on-prem SQL Server workloads to Azure Synapse, Azure SQL, and cloud storage while validating source-to-target results and maintaining reporting continuity. Developed reusable data validation and audit logic for reconciliation, duplicates, null checks, late-arriving data, and business rules, including alerts, error handling, restart, and reprocessing procedures. Developed Power BI semantic models and KPI dashboards, replacing 10+ Excel-based reports and saving ~12 hours/week; supported release and production handover with Git and Azure DevOps.
Delivered enterprise data engineering and BI solutions across multiple client environments using Azure SQL, ADF, Synapse, SSIS, SSAS, Power BI, SSRS, and Spark-based processing. Designed dimensional warehouse models (star/snowflake), ETL frameworks, fact/dimension structures, SCD logic, data cleansing, audit columns, and source-to-target validation with error handling. Modernized legacy SQL Server/SSRS/SSAS workloads for Azure and Power BI while balancing migration risk, data quality, performance, and business continuity. Used Git and Azure DevOps for peer review and automated multi-environment releases; provided production support and partnered with engineers, analysts, architects, and business users to resolve defects and clarify requirements.
Education
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