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I am a Data Engineer with 5 years of experience building cloud-native data platforms, ELT/ETL pipelines, and analytics solutions across healthcare, banking, and enterprise environments. I specialize in PySpark, SQL, Databricks, Airflow, Snowflake, dbt, and AWS/Azure data services, delivering production-grade data products. I have a strong healthcare data background including claims, EHR/EMR, PHI governance, HIPAA compliance, and data quality. I collaborate with data scientists, analysts, and business leaders to drive value-based care and risk analytics while implementing robust CI/CD, DevOps, and automated testing for reliable deployments. I have a strong healthcare data background including claims, EHR/EMR, PHI governance, HIPAA compliance, and data quality. I collaborate with data scientists, analysts, and business leaders to drive value-based care and risk analytics while implementing robust CI/CD, DevOps, and automated testing for reliable deployments.…I am a Data Engineer with 5 years of experience building cloud-native data platforms, ELT/ETL pipelines, and analytics solutions across healthcare, banking, and enterprise environments. I specialize in PySpark, SQL, Databricks, Airflow, Snowflake, dbt, and AWS/Azure data services, delivering production-grade data products. I have a strong healthcare data background including claims, EHR/EMR, PHI governance, HIPAA compliance, and data quality. I collaborate with data scientists, analysts, and business leaders to drive value-based care and risk analytics while implementing robust CI/CD, DevOps, and automated testing for reliable deployments. I have a strong healthcare data background including claims, EHR/EMR, PHI governance, HIPAA compliance, and data quality. I collaborate with data scientists, analysts, and business leaders to drive value-based care and risk analytics while implementing robust CI/CD, DevOps, and automated testing for reliable deployments.

Ushashree M Indala

Data Scientist, Full Stack Developer, Web Developer, +4

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I am a Data Engineer with 5 years of experience building cloud-native data platforms, ELT/ETL pipelines, and analytics solutions across healthcare, banking, and enterprise environments. I specialize in PySpark, SQL, Databricks, Airflow, Snowflake, dbt, and AWS/Azure data services, delivering production-grade data products. I have a strong healthcare data background including claims, EHR/EMR, PHI governance, HIPAA compliance, and data quality. I collaborate with data scientists, analysts, and business leaders to drive value-based care and risk analytics while implementing robust CI/CD, DevOps, and automated testing for reliable deployments. I have a strong healthcare data background including claims, EHR/EMR, PHI governance, HIPAA compliance, and data quality. I collaborate with data scientists, analysts, and business leaders to drive value-based care and risk analytics while implementing robust CI/CD, DevOps, and automated testing for reliable deployments.…I am a Data Engineer with 5 years of experience building cloud-native data platforms, ELT/ETL pipelines, and analytics solutions across healthcare, banking, and enterprise environments. I specialize in PySpark, SQL, Databricks, Airflow, Snowflake, dbt, and AWS/Azure data services, delivering production-grade data products. I have a strong healthcare data background including claims, EHR/EMR, PHI governance, HIPAA compliance, and data quality. I collaborate with data scientists, analysts, and business leaders to drive value-based care and risk analytics while implementing robust CI/CD, DevOps, and automated testing for reliable deployments. I have a strong healthcare data background including claims, EHR/EMR, PHI governance, HIPAA compliance, and data quality. I collaborate with data scientists, analysts, and business leaders to drive value-based care and risk analytics while implementing robust CI/CD, DevOps, and automated testing for reliable deployments.

Available to hire

I am a Data Engineer with 5 years of experience building cloud-native data platforms, ELT/ETL pipelines, and analytics solutions across healthcare, banking, and enterprise environments. I specialize in PySpark, SQL, Databricks, Airflow, Snowflake, dbt, and AWS/Azure data services, delivering production-grade data products. I have a strong healthcare data background including claims, EHR/EMR, PHI governance, HIPAA compliance, and data quality. I collaborate with data scientists, analysts, and business leaders to drive value-based care and risk analytics while implementing robust CI/CD, DevOps, and automated testing for reliable deployments.

I have a strong healthcare data background including claims, EHR/EMR, PHI governance, HIPAA compliance, and data quality. I collaborate with data scientists, analysts, and business leaders to drive value-based care and risk analytics while implementing robust CI/CD, DevOps, and automated testing for reliable deployments.

Skills

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Work Experience

Data Engineer (Healthcare Operations and Analytics) at MU Health Care

January 1, 2023 - Present

Designed scalable healthcare data pipelines using PySpark, Databricks, and Airflow to process claims (837/835), provider, and eligibility datasets across S3 and Snowflake. Built ingestion frameworks for EHR/EMR records, lab datasets, HL7/FHIR feeds, and payer data workflows with strict PHI security and HIPAA compliance. Developed curated risk, utilization, and member 360 data models consumed by actuarial, analytics, and care-coordination teams. Implemented Great Expectations-based data quality and anomaly-detection rules, reducing claim-processing errors by 35%. Automated CI/CD workflows using GitHub Actions, Docker, and CodePipeline for reliable deployment of DE pipelines across environments. Constructed operational dashboards with Snowflake + Power BI for monitoring provider performance, claim turnaround time, and SLA adherence. Collaborated with healthcare analytics, actuarial, and clinical operations teams to deliver scalable pipelines supporting value-based care initiatives.

Data Engineer (Banking Operations and Analytics) at Deloitte

August 1, 2020 - July 1, 2022

Developed ETL pipelines using PySpark, Databricks, and SQL to integrate customer transactions, loan ledgers, credit risk data, and fraud monitoring feeds into Snowflake. Built risk scoring and credit decisioning data marts using dimensional modeling and Delta Lake, enabling FICO-model-driven analytics. Implemented ETL frameworks with Great Expectations and custom validation rules to maintain high-quality regulatory datasets (Basel, RBI compliance). Optimized high-volume batch pipelines via partitioning, Z-Ordering, and caching, reducing processing time by 40%. Created executive dashboards for loan performance, delinquency trends, and customer segmentation using Power BI. Automated daily/weekly data refresh workflows and integrated with downstream reporting systems and fraud analytics platforms.