Satish Ratakonda

At Labcorp, I build SQL- and Python-driven datasets that support operational and financial performance decisions. I implemented AWS Glue and Redshift profiling frameworks that reduced pipeline errors by 40%, and automated workflows that cut manual processing by 50%.

I optimize Apache Spark and dbt transformations through partitioning and join strategies, improving processing speed by 35% while lowering compute costs. I also analyze Redshift and PostgreSQL performance to reduce executive reporting turnaround from five days to two.

Previously at Cognizant Technology Solutions, I created more than 10 interactive Power BI, Tableau, and Redash dashboards for financial and operational reporting. My exploratory analysis identified anomalies that improved operational efficiency by 20%, while SQL and profiling improvements reduced extraction time by 40%.

I'm focused on scalable analytics solutions using SQL, Python, cloud data platforms, dbt, BI tools, and workflow automation. I enjoy collaborating across teams to standardize metrics, validate complex datasets, and make decision-making more reliable.