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Priyanka Verma

@priyankaverma3

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Azure Data Engineer transforming data with scalable Azure pipelines, streaming, and secure governance.

Canada

Message

What I'm looking for

I’m looking to build and scale end-to-end Azure data platforms—ETL/ELT, streaming, secure governance, and reliable monitoring—working in Agile teams to deliver high-impact analytics with minimal downtime.

I’m an Azure Data Engineer with 9+ years of IT experience, including 5+ years designing and delivering scalable cloud data platforms on Azure. I build and optimize high-performance ETL/ELT pipelines that improve reliability, scalability, and processing efficiency across enterprise data systems.

I focus on end-to-end data platform design—storage, warehousing, and real-time ingestion—using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake. I’ve built streaming and event-driven solutions with Event Hubs and Stream Analytics, and implemented robust security with Key Vault, RBAC, encryption, and governed access policies.

I leverage Python, PySpark, and Shell scripting to automate workflows, tune performance, and reduce manual effort. For data warehousing, I design and tune Snowflake solutions, including schema design and star/snowflake modeling, to support fast analytics and reporting.

I bring operational excellence through monitoring and CI/CD, using Azure Monitor/Log Analytics plus Azure DevOps and Infrastructure as Code. I’ve also led migrations from on-premises to Azure with minimal downtime, and collaborated in Agile environments using Jira and Confluence to deliver outcomes that stakeholders can act on.

Experience

Work history, roles, and key accomplishments

Current

Azure Data Engineer

Current

PwC Canada

Nov 2024 - Present (1 year 8 months)

Designed and implemented scalable Azure data solutions using Azure Data Factory, Azure Synapse, and Azure Databricks to build and manage data pipelines. Built streaming and batch processing workflows, monitoring/alerting, and secure governance using services such as Event Hubs, Stream Analytics, Key Vault, and Azure Monitor.

Data Engineer

PwC Canada

Jan 2021 - Oct 2024 (3 years 9 months)

Developed robust ETL pipelines with Azure Data Factory to integrate data from on-premises databases, cloud storage, and third-party APIs into Azure. Built and optimized Azure Synapse data warehouses, Databricks transformations (including delta tables), and monitoring/data quality checks.

Azure Data Factory Azure Synapse Azure Logic Apps Databricks Python SQL Data Quality Monitoring Jira Confluence Git GitHub Performance Tuning data transformation Data Pipelines

Software Developer

Bank of Baroda

Jan 2015 - Aug 2019 (4 years 7 months)

Designed, developed, and maintained enterprise applications using Java, Python, and SQL with performance tuning and refactoring. Managed Oracle databases, implemented and troubleshot IPv4/IPv6 networking components, and supported CI/CD and automated testing for reliable releases.

Java Python SQL Oracle Database Performance Tuning Refactoring CI CD Automated Testing Code Review Mentorship IPv4 IPv6 Troubleshooting

Education

Degrees, certifications, and relevant coursework

Maharshi Dayanand University (PDM College of Engineering)

Bachelor of Computer Science, Computer Science

2008 - 2012

Bachelor's in Computer Science from Maharshi Dayanand University through PDM College of Engineering (Bahadurgarh, Haryana), completed from June 2008 to May 2012.