Upendra Neil
@upendraneil
Azure Data Engineer specializing in scalable ETL, Snowflake, Databricks, and cloud data architecture.
What I'm looking for
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
Azure Data Engineer
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 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 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.
Education
Degrees, certifications, and relevant coursework
Jawaharlal Nehru Technological University
Bachelor of Computer Science and Engineering, Computer Science and Engineering
Completed a Bachelor of Computer Science and Engineering focused on software engineering and data processing concepts.
Tech stack
Software and tools used professionally
Azure Synapse
Apache Spark
AWS Glue
Microsoft Azure
Google Cloud Platform
Azure Storage
GitHub
Bitbucket
Jenkins
PySpark
dbt
DB
Sqoop
MySQL
PostgreSQL
Cassandra
Hadoop
HBase
Gmail
Databricks
Terraform
Visual Studio
Azure DevOps
JavaScript
Java
JSON
PowerShell
XML
Kafka
Azure Service Bus
Grafana
Kibana
Prometheus
Azure Monitor
Zookeeper
Ubuntu
CentOS
Linux
Windows
Avro
Serverless
Azure Functions
Azure SQL Database
Visual Studio Code
Airflow
Apache Beam
Time Analytics
Root Cause
Amazon Web Services (AWS)
SQL
Delta Lake
Azure Logic Apps
Cosmos
Transform
Enhance
Availability
Location
Authorized to work in
Job categories
Skills
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