I’m a Data Engineer at InnovateMR, working at the intersection of data engineering, and tech architecture. My day-to-day role revolves around building reliable data pipelines, improving system observability, Governance ,and enabling stakeholders to take faster and smarter business decisions through accurate reporting. On the data engineering side, I work extensively with AWS Glue, Redshift, Lambda, Athena, QuickSight, S3, and MongoDB, along with hands-on experience in SageMaker, OpenSearch, and Snowflake. I design and optimize end-to-end data workflows and ETLs—starting from raw ingestion to transformation and governance—ensuring performance, accuracy, and scalability. On the architecture & infrastructure side, I focus on making systems more debug-friendly and production-ready. I build log processing pipelines for ALB access logs, MongoDB logs, API call logs, and Lambda logs, and integrate monitoring tools like New Relic and OpenSearch. This data is then visualized through QuickSight dashboards, helping teams identify bottlenecks, making infra cost frindly ,detect failures early, and improve overall system reliability. I enjoy solving complex problems, streamlining data operations, and building platforms that convert data into actionable insight—while keeping architecture scalable, maintainable, and cost-efficient.