Currently, I am a Senior Data Engineer at Optum, where I lead critical data transformation and cloud migration projects. I have architected complex, large-scale data pipelines across AWS and Azure, enabling Optum to handle high-volume healthcare data efficiently. By implementing real-time data streaming using Kafka and Apache Flink, I helped reduce operational latency and improve decision-making processes. My work focuses on building high-performance, scalable solutions that drive healthcare innovations.

At Avesis, I led the transformation of the company's data architecture, primarily focused on improving dental and vision claims processing systems. I built scalable data pipelines leveraging AWS Glue, Redshift, and Snowflake, cutting down processing time by 40%. Additionally, I integrated real-time data analytics with Apache Flink to provide actionable insights, while ensuring data governance and security compliance through advanced frameworks in Azure.

At Evolutyz Corp, I led the design and implementation of scalable data solutions, leveraging Azure and Google Cloud platforms to transform raw data into actionable insights. I spearheaded the migration of legacy systems to the cloud, optimizing ETL processes with Azure Data Factory and Apache NiFi, resulting in a 30% improvement in data processing times.I developed robust data pipelines for handling high-volume datasets and integrated real-time streaming capabilities using Apache Kafka, enabling faster decision-making for key stakeholders. My work included optimizing data warehousing solutions with Google BigQuery and Azure Synapse, providing efficient data storage and retrieval.In addition, I automated infrastructure provisioning using Terraform and established CI/CD pipelines with Azure DevOps, streamlining deployments and improving operational efficiency. I also collaborated with cross-functional teams to create Power BI dashboards, enabling leaders to track KPIs and improve data-driven decision-making across the organization.

At Cyient Systems, I focused on developing and maintaining ETL pipelines using tools like Informatica and SQL Server Integration Services (SSIS) to manage engineering and geospatial data for large-scale infrastructure projects. I was responsible for optimizing data models and ensuring efficient data storage and retrieval across SQL Server and Oracle databases.I collaborated with cross-functional teams to integrate data from multiple systems and built reporting solutions using SQL and Microsoft Excel. I also worked with Power BI to create data visualizations for asset performance, enabling stakeholders to make data-driven decisions.During this time, I contributed to improving data governance by implementing data validation and error-handling processes, enhancing overall data quality by 30%. I also automated routine data workflows with VBA and Shell Scripting, reducing manual data processing tasks and increasing team efficiency.