Open to opportunities

Upendra Neil

@upendraneil

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Azure Data Engineer specializing in scalable ETL, Snowflake, Databricks, and cloud data architecture.

Canada

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What I'm looking for

I seek a role building scalable, secure cloud data platforms where I can lead ETL/ELT automation, optimize performance, and apply AI/ML to deliver actionable insights.

I am an Azure Data Engineer with 7+ years of experience designing and implementing scalable data pipelines, data models, and governance across Azure and multi-cloud environments. I have delivered end-to-end ETL/ELT solutions using Azure Data Factory, Databricks, Delta Lake, Snowflake, and DBT while optimizing performance, security, and observability.

I lead automation and CI/CD initiatives using Azure DevOps, Terraform, and scripting to accelerate deployments and reduce manual effort. I have a strong track record in real-time ingestion, data modeling, telemetry, and building AI-enabled services with Azure OpenAI and Azure ML to drive analytics, cost-efficiency, and business insights.

Experience

Work history, roles, and key accomplishments

Current

Azure Data Engineer

Current

Bell

Apr 2023 - Present (2 years 8 months)

Developed and maintained end-to-end ETL/ELT pipelines in Azure, improving data processing performance by 30% through Databricks, Data Factory, and optimized SQL; built Snowflake models and BI reports to support executive decision-making.

Azure Data Factory Databricks Snowflake SQL Python Delta Lake Terraform CI CD

Azure Data Engineer

Telus

Aug 2021 - Mar 2023 (1 year 7 months)

Implemented scalable data ingestion and transformation pipelines using ADF and Databricks (Scala/PySpark), designed DBT models and optimized cloud storage to accelerate analytics and reporting.

Azure Data Factory Databricks Pyspark Scala DBT Azure SQL Power BI Tableau

Azure Data Engineer

Wipro

Sep 2018 - Jul 2021 (2 years 10 months)

Executed cloud migrations and built automated ADF pipelines with incremental loads, developed data warehouses and Tableau/Power BI dashboards while implementing data quality and orchestration with Airflow.