Open to opportunities

Anuza Paneru

@anuzapaneru

Message

I build cloud lakehouse platforms and real-time pipelines for healthcare and financial data.

United States

Message

What I'm looking for

I'm looking to build scalable cloud data platforms, lakehouse architectures, and real-time analytics solutions where I can lead engineering decisions, strengthen governance and reliability, and support AI-ready data products.

At Kaiser Permanente, I architect enterprise healthcare data platforms processing 2TB+ daily across claims, clinical, member, provider, and operational datasets. I build fault-tolerant ETL/ELT pipelines with Databricks, PySpark, Airflow, AWS Glue, Snowflake, and Delta Lake.

I designed lakehouse and warehouse solutions integrating 500TB+ of healthcare data, improved analytical performance by approximately 60%, and modernized Hadoop workloads to cloud platforms for a 40% processing-performance improvement.

Previously at MetLife, I developed Azure-based pipelines and Snowflake data models for policy, claims, customer, and actuarial data. I also delivered BI datasets, Power BI dashboards, Tableau reports, data quality controls, and governed access to sensitive insurance data.

My foundation at BlackRock includes Spark, Hadoop, BigQuery, Airflow, Kafka, and cloud data ingestion for financial analytics. I bring 7+ years of experience building secure, AI-ready data platforms, including RAG pipelines, vector search workflows, and HIPAA-compliant governance.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Kaiser Permanente

Feb 2023 - Present (3 years 7 months)

Architected and optimized 15+ scalable ETL/ELT pipelines processing 2TB+ healthcare data daily. Designed lakehouse architecture with Databricks, Delta Lake, and Medallion Architecture, improving performance by 60%.

Data Engineer

MetLife

May 2021 - Jan 2023 (1 year 8 months)

Developed and maintained 15+ ETL/ELT pipelines using Azure Data Factory, Databricks, and PySpark. Designed and optimized Snowflake data models with dbt, reducing reporting preparation time by 25%.

Azure Data Factory Azure Databricks PySpark SQL Snowflake DBT Azure Stream Analytics Power BI Tableau Azure Key Vault RBAC Azure DevOps Git CI CD REST APIs SQL Server Oracle

Big Data Developer

BlackRock

Oct 2018 - Apr 2021 (2 years 6 months)

Assisted in developing and maintaining ETL data pipelines using Python, SQL, Apache Spark, and Hadoop ecosystem tools. Supported data ingestion and processing on GCP, including BigQuery and Dataproc.