Shreesha Rao P
About Candidate
As a Data Analyst with strong Data Engineering expertise at OneMoney, I work across the entire data lifecycle — from data extraction and transformation to analytics, dashboards, and business insights. My role involves building and maintaining scalable data pipelines, optimizing existing code, and ensuring clean, reliable data for cross-functional teams. I’ve contributed to performance improvements by migrating RDS datasets to S3, enabling faster analytics through Athena, and automating repetitive workflows to reduce manual effort.
I work closely with product, engineering, and business teams to understand requirements and translate them into meaningful insights. Using SQL, Athena, Python, and QuickSight, I build dashboards, business funnels, and metrics that improve visibility and support critical decision-making. I also maintain internal knowledge bases and documentation that streamline processes and help teams access data more efficiently.
My responsibilities include debugging issues, enhancing query performance, ensuring data accuracy, and designing ETL processes that support scalable analytics. By combining analytical thinking with hands-on engineering skills, I contribute directly to improving operational efficiency, strengthening data governance, and enabling data-driven strategies across the organization.
Location
Education
Work & Experience
As a Data Analyst with strong Data Engineering expertise at OneMoney, I work across the entire data lifecycle — from data extraction and transformation to analytics, dashboards, and business insights. My role involves building and maintaining scalable data pipelines, optimizing existing code, and ensuring clean, reliable data for cross-functional teams. I’ve contributed to performance improvements by migrating RDS datasets to S3, enabling faster analytics through Athena, and automating repetitive workflows to reduce manual effort. I work closely with product, engineering, and business teams to understand requirements and translate them into meaningful insights. Using SQL, Athena, Python, and QuickSight, I build dashboards, business funnels, and metrics that improve visibility and support critical decision-making. I also maintain internal knowledge bases and documentation that streamline processes and help teams access data more efficiently. My responsibilities include debugging issues, enhancing query performance, ensuring data accuracy, and designing ETL processes that support scalable analytics. By combining analytical thinking with hands-on engineering skills, I contribute directly to improving operational efficiency, strengthening data governance, and enabling data-driven strategies across the organization.
