Sudheer Kumar Banka
I’m Sudheer Kumar Banka, a data and business intelligence professional with 9+ years of hands-on experience in data analysis, visualization, and DAX-driven analytics.
About
I’m Sudheer Kumar Banka, a data and business intelligence professional with 9+ years of hands-on experience in data analysis, visualization, and DAX-driven analytics. I excel at building high-impact dashboards in Power BI and Tableau, crafting complex measures, calculated columns, and semantic models that unlock actionable insights for finance, healthcare, and operations.
I’m proficient across a broad set of data technologies—from SQL databases and ETL tools to cloud platforms (AWS, Azure, GCP) and ML libraries in Python and R. I design scalable data pipelines, implement AI/ML-driven predictions, and automate reporting with CI/CD, Docker/Kubernetes, and modern DevOps practices to empower teams with timely, accurate data.
- 10 years' experience
- Joined November 2025
Industry experience
- Healthcare
- Financial Services
- Software & Internet
- Professional Services
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Work experience· 5 roles
Developed and optimized data-driven BI solutions using SQL, Python, Power BI with advanced DAX, and cloud technologies; built reusable data models, automated reporting, and predictive analytics; collaborated on Azure Databricks and PySpark pipelines; maintained data warehouses with Redshift and Snowflake; containerized applications with Docker/Kubernetes; implemented CI/CD with Jenkins; built streaming pipelines with Kafka/Kinesis; created APIs for data sharing; supported finance and operations analytics.
Created dashboards in Power BI and Tableau; wrote DAX; automated ETL with Airflow, Talend, and AWS Glue; integrated data from EHR, claims, patient surveys, and trials; designed Snowflake data marts; built analytics for benefits administration; automated data pipelines; worked with Azure Synapse and Data Factory for migration and transformation.
Created financial and healthcare dashboards in Power BI and Tableau; authored DAX calculations for premium pricing, claims analysis, and fraud detection. Automated ETL pipelines using Airflow, Talend, and AWS Glue to deliver clean, conformed datasets suitable for DAX modeling. Ingested data from EHRs, claims, patient surveys, and clinical trials; developed Snowflake data marts and optimized sub-second DAX query performance. Collaborated on plan designs, claims experience, and premium structures for corporate clients; automated data pipelines for eligibility and claims feeds; improved reporting accuracy and reduced errors. Mapped data lineage across Azure Synapse and Data Factory; implemented governance and data classification standards for sensitive financial datasets. Built automated validations and semantic layers for analytics; designed and deployed APIs for internal/external data sharing; used Jupyter notebooks for ad-hoc analysis and dashboards.
Education
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