I'm Bhanu Kalyan Pulibandla, a Data Engineer designing scalable ETL pipelines, cloud data warehouses, and BI dashboards — from extraction and modeling to the insight teams actually act on.
Data Engineer with experience in SQL, ETL, and data modeling, building scalable data pipelines, data warehouses, and BI dashboards that turn raw data into product and business insight.
M.S. in Computer Science (STEM) from Roosevelt University. Background spans data extraction, transformation, and loading; data quality and governance; dashboard and visualization design; and close collaboration with engineers, analysts, and stakeholders to translate business requirements into data solutions.
From production ETL pipelines across multi-cloud environments to hospital-scale analytics platforms.
Selected engagements where pipeline design and dashboarding moved real business metrics.
Designed an end-to-end analytics pipeline structuring Patient, Billing, Appointments, and Insurance data into 20+ visualizations across 5 production dashboards — applying data warehousing and data modeling principles that improved report turnaround speed and stakeholder insight visibility by over 50%.
Building and operating scalable ETL pipelines spanning AWS, Azure, and GCP — covering data modeling, warehouse architecture, query performance tuning, and pipeline monitoring/logging to support data quality, governance, and compliance across source systems.
Breadth across the full data stack — from pipeline code to cloud infrastructure to the BI layer stakeholders see.
Open to Data Engineering opportunities in Chicago and remote. Reach out anytime.