Babji Kilaru

I’m a results-oriented Data Analyst with over 4 years of experience designing and optimizing data products, ETL pipelines, and BI dashboards across healthcare, finance, and cloud-native environments.

Currently at Cigna Healthcare, I build data pipelines and reporting tools that process over 10M records, drive clinical strategy, and maintain HIPAA compliance. I’ve worked extensively with Azure Data Factory, Snowflake, Apache Airflow, SQL, and Python, as well as Power BI, Tableau, and Looker Studio to create executive dashboards that inform strategic decisions and reduce manual effort by 40%.

Prior to this, I led data migration and dashboard development efforts at Experion Technologies, where I built real-time compliance workflows using AWS Glue, Lambda, and QuickSight. I’ve also built secure analytics solutions with SSIS, DBT, Alteryx, and enforced data governance using Row-Level Security (RLS) across platforms like Tableau and Snowflake.

With a strong foundation in data modeling, statistical analysis, and machine learning, I thrive in cross-functional teams where I can bridge the gap between technical complexity and business goals. My passion lies in transforming raw data into scalable products that empower decision-makers.

I’m currently seeking opportunities where I can contribute to building high-impact data platforms, partner with diverse stakeholders, and create meaningful business value through analytics.

I am a results-driven Data Analyst with over 4 years of experience specializing in healthcare and financial analytics. I have a strong track record of building scalable ETL pipelines, performing large-scale data processing, and developing insightful dashboards to drive data-informed decisions. My technical expertise spans Python, PySpark, SQL, and data visualization tools such as Power BI and Tableau. I have hands-on experience working with cloud platforms like Azure, and AWS, and have delivered analytics solutions that adhere to compliance frameworks like HIPAA. Throughout my career, I’ve contributed to end-to-end data projects, optimized reporting workflows, and collaborated with cross-functional teams in Agile environments.

I hold a Master’s in Computer Science degree from the University of Missouri-Kansas City, where I focused on data analytics, machine learning, and cloud technologies. This advanced degree built a strong foundation in data processing, statistical modeling, and programming, directly aligning with my professional work in data engineering and analytics. I also hold a Bachelor’s in Computer Science and Engineering from SRM University, AP, India, which provided the core technical skills in programming, databases, and systems design that underpin my current data-driven roles.