
Azure Data Engineer with 5+ years of experience building robust, end-to-end data pipelines using Azure Data Factory, Synapse, and Databricks. Proven track record of optimizing large-scale data workflows to support B.I. and M.L. initiatives. Skilled in SQL, Python, and data lake architecture.
Project Name: TCS – Monogram Health Care.
Role: Senior Data Engineer.
Project Description:
The Monogram Health Data Ecosystem Modernization Project - MVP1 Platform is intended to modernize the existing Monogram Health platform by re-architecting it to provide end-to-end integration from data ingestion to data transformation, to data analytics, and full re-platforming.
Roles and responsibilities:
Project Name: DATA-FMB-AMS Support.
Role: Data Engineer Developer.
Project Description:
Roles and responsibilities:
Azure Data Services: Azure Data Factory, Azure SQL Database, Azure Databricks, Azure Synapse Analytics, Azure Blob Storage, Azure Data Lake Storage, Azure Event Hubs
Databases: SQL Server, MySQL, PostgreSQL, NoSQL (Cosmos DB, MongoDB)
Data Warehousing: Data warehouse design and optimization, ETL processes
ETL Tools: Azure Data Factory, SSIS, Databricks, Apache Spark
Programming languages: Python, SQL
Tools/Frameworks: Power BI, Git, Azure DevOps, and CI/CD pipelines