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Alay Bash

@alaybash

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I build scalable Azure, Fabric, Snowflake, and dbt data platforms for reliable enterprise analytics.

United States

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What I'm looking for

I'm looking to build reliable, governed cloud data platforms that modernize legacy systems, enable self-service analytics, and support AI-ready enterprise data initiatives.

At Rexus Group, I architect scalable Azure and Microsoft Fabric pipelines that ingest enterprise data into ADLS Gen2 and OneLake. I build PySpark and Spark SQL transformations for Bronze/Silver/Gold Lakehouse reporting and analytics.

Previously at Equinox IT, I developed Snowflake ELT pipelines with dbt and advanced SQL, modeled dimensional warehouses, and built quality, testing, lineage, and governance practices for analytics-ready data.

My work spans Python integrations, CDC, data observability, semantic layers, and Power BI reporting. I translate business requirements into reliable, cost-efficient data products that support self-service analytics and modernization initiatives.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Rexus Group

Jan 2024 - Present (2 years 8 months)

Architected and engineered scalable data pipelines on Microsoft Azure and Microsoft Fabric, using Azure Data Factory and Fabric Data Factory for orchestration. Built and optimized PySpark and Spark SQL transformation jobs within Fabric Notebooks and Azure Synapse Analytics, powering a Bronze/Silver/Gold Medallion Lakehouse architecture.

Azure Microsoft Fabric Azure Data Factory Data Fabric OneLake PySpark Azure Synapse Medallion Architecture Change Data Capture (CDC)Monitoring Alerting Logging Data Observability Data Governance Data Lineage Cloud Migration Legacy Modernization

Data Engineer

Equinox IT

Jan 2021 - Dec 2024 (3 years 11 months)

Developed ELT pipelines in Snowflake using dbt and advanced SQL to transform raw source data into governed, analytics-ready datasets. Modeled Star Schema and Snowflake Schema structures, building fact and dimension tables with Slowly Changing Dimensions (SCD) to support consistent historical reporting.

Snowflake DBT Advanced SQL ELT Star Schemas Fact And Dimension Tables Data Quality Data Validation Data Reconciliation Semantic layer REST APIs Python Data Governance Data Lineage Metadata Management Access Control

Data Analyst / Data Engineer

Robert Half

Jan 2019 - Dec 2021 (2 years 11 months)

Built and maintained SQL and Python-based ETL processes to consolidate data from multiple business systems into a central reporting environment. Developed Power BI dashboards and reports that translated business requirements into clear, actionable insights for operations and finance stakeholders.