Rohit
Data Engineer @PointClickCare
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WORK HISTORY
Data Engineer @PointClickCare
Mississauga, ON, CA
Led end-to-end migration of legacy healthcare data systems to a modern Azure cloud ecosystem (ADF, ADLS, Databricks, Synapse).• Designed scalable data ingestion and transformation pipelines supporting real-time and batch workloads across multiple domains.• Implemented standardized transformation frameworks including cleansing, schema mapping, SCD logic, deduplication, and validation.• Built reusable, parameterized ETL pipelines and automated orchestration using ADF triggers and Azure DevOps CI/CD.• Optimized large-scale PySpark transformations, improving performance and ensuring data reliability for analytics teams.• Acted as a Lead Engineer overseeing three team members, driving architecture decisions, code reviews, and delivery quality.• Collaborated with product, architecture, and cloud teams to ensure compliance with PHI/PII security standards and healthcare regulations.• Strengthened monitoring and observability with Azure Monitor, Log Analytics, pipeline alerts, and custom audit logging.
EDUCATION
University of Windsor
Master's degree
GITAM Deemed University
Bachelor's degree
ABOUT ROHIT
I have close to 7 years of experience working in data. Currently, I work as Azure Data Engineer, where I am working on Microsoft Azure Products, Data Delivery/Analytics, Data Modeling, ETL/ELT Tools Master Data Management and of developing highly automated and documented solutions. I’m deeply passionate about creating loved and trusted products that help people navigate their careers and achieve their career goals.• Ability to write performant SQL code and optimize the existing code• Good knowledge of data modeling (Azure SQL DB, Power BI service, SSIS, SSRS, stored proc.)• Experts at making data ready for consumption by working with multiple systems and tools, you encompass ETL/ELT, such as Azure Data Factory.• Good understanding of the architecture of Power BI services in order to offer relevant solutions Competencies: Azure Data Factory, Azure Data Lake, Azure Data bricks, Azure SQL Data Warehouse, MS Business Intelligence, Microsoft SQL Server
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