
• Designed and implemented end‑to‑end data migration pipelines to Microsoft Azure, migrating on‑premises datasets to Azure Data Lake Storage (ADLS) and Azure SQL as part of cloud modernization initiatives.
• Developed and orchestrated ETL workflows using Azure Data Factory (ADF) to ingest data from legacy databases and flat files into Azure cloud storage.
• Monitored, optimized, and troubleshot ADF pipelines and Azure data processing jobs to enhance reliability and reduce data‑load latency.
• Created Python‑based automation solutions for data extraction, transformation, and workflow optimization, improving the efficiency of existing ETL processes.
• Utilized Python libraries such as Pandas and PySpark for large‑scale data cleansing, transformation, and validation tasks.
• Developed secure encryption/decryption pipelines using Python and SSIS for PHI data by applying industry‑standard encryption techniques (PGP/GPG) to ensure regulatory compliance.
• Developed reports using Power BI and SSRS based on business requirements.
• Managed HIPAA‑regulated healthcare data and implemented secure processes for enterprise data loading and maintenance.
• Demonstrated strong proficiency in writing, optimizing, and debugging complex stored procedures and SQL functions.
• Used Cerberus FTP and MOVEit SFTP applications to manage and automate secure file transfers
• Proven ability to work independently and provide technical guidance and support to team members and stakeholders as needed.
SQL Server, Azure Cosmos DB
Azure Data Factory
Microsoft Fabric, Azure Synapse
SQL Server Integration Services
SQL Server Reporting Services
Python programming, VBNet, C#
Power BI, CTD Report Writer
SFTP: MOVEit, Cerberus FTP
Healthcare Tools : Trizetto QNXT, IMA Dynamo CaseTrakker
Azure Devops, Git Hub, SVN, VSS
· Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
· Develop robust ETL (Extract, Transform, and Load) processes to integrate data from diverse sources into on premise and cloud data ecosystem.
· Developed interactive reports using Power BI, SSRS and other custom report tools to track key performance metrics.
· Design and maintain data models, schemas, and database structures to support analytical and operational use cases.
· Optimize data storage and retrieval mechanisms for performance and scalability.
· Evaluate and implement data storage solutions, including relational databases, data lakes, and cloud storage services.
· Build and maintain integrations with internal and external data sources and APIs.
· Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency.
· Collaborate with business analysts, and business stakeholders to understand data requirements and deliver tailored solutions.
· Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.
· Proficient in implementing encryption techniques for secure PHI data processing in adherence to HIPAA standards.
· Provide technical guidance and support to team members and stakeholders as needed.