Vinay S

Data Engineer @CVS Health

Seattle, WA, US

Developed and maintained scalable distributed data solutions, potentially leveraging Azure Databricks or Azure Synapse Analytics for big data processing. Developed and maintained automated data validation scripts using Python, which could be integrated into Azure Data Factory pipelines. Created and executed SQL queries to validate data from on-prem data and data lakes, including querying data in Azure SQL Database or Azure Synapse Analytics. Collaborated with data analysts, data scientists, and stakeholders to understand and fulfill data validation requirements. Designed and maintained data quality dashboards to monitor data validation results and identify potential issues, potentially using Power BI connected to Azure data sources. Implemented automated testing and deployment processes for PL/SQL code using Jenkins and GIT, which aligns with DevOps practices and could be adapted for Azure DevOps. Maintained documentation and version control for data validation processes and scripts, using Git and potentially Azure DevOps repositories. Performed data profiling and analysis to identify data quality issues and implement data validation rules. Utilized Bash, Python, and SQL to automate data pipelines, manage data extraction, and perform system administration tasks, potentially using Azure Functions or Azure Automation for automation. Implemented Azure Data Factory operators to perform tasks such as executing SQL queries, running Python scripts, sending notifications, and managing file systems. Monitored data quality trends and proactively identified areas for improvement in data validation processes. Created interactive dashboards using Excel and Power BI to visualize key performance indicators, facilitating data-driven decision-making. Set up data warehouse and SQL schema for relational data and integrated it with Azure Synapse Analytics.

University of Missouri-Kansas City

Master's degree

KL University

Bachelor of Technology - BTech