Looking for a job

Rejina Thapa

@rejinathapa

Message

I build scalable cloud data platforms for real-time and batch healthcare and financial analytics.

United States

Message

What I'm looking for

I'm looking to build scalable, secure cloud data platforms that support real-time and batch analytics, modernize legacy systems, and enable data, ML, and business teams in regulated environments.

At Mayo Clinic, I build Azure ETL and streaming platforms processing more than 5TB of healthcare data daily across Medicare, Medicaid, and commercial sources. I use Azure Data Factory, PySpark, Databricks, Flink, Kafka, and Event Hubs to support low-latency clinical and operational analytics.

I modernize legacy ETL systems into modular Python, dbt, and Airflow pipelines, while designing bronze, silver, and gold data layers. My work includes migrating SQL Server, Oracle, and MongoDB workloads to Azure Data Lake, Azure SQL Database, Snowflake, and Synapse.

Previously at Spring Health and PayPal, I delivered Snowflake-based healthcare marts and event-driven pipelines processing billions of transactions daily. I’ve built secure cloud services across AWS, Azure, and GCP, with a focus on data quality, observability, IAM, encryption, RBAC, HIPAA, and GDPR.

I also support ML and analytics teams with feature datasets, MLflow and Azure ML deployments, Power BI and Looker reporting, and Hugging Face and LangChain workflows for unstructured EHR data. I mentor junior engineers on CI/CD, reviews, and production deployments.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Mayo Clinic

Jul 2024 - Present (2 years 2 months)

Designed scalable ETL pipelines using Azure Data Factory, PySpark, and Azure Databricks, processing over 5TB of healthcare data daily. Engineered real-time ingestion pipelines and automated infrastructure deployment, reducing manual provisioning effort by 70%.

Data Engineer

Spring Health

May 2022 - Jun 2024 (2 years 1 month)

Designed scalable ETL pipelines using AWS Glue, Lambda, Airflow, and dbt, ingesting EHR, claims, provider, and patient files into S3 and Snowflake. Migrated workloads from legacy systems, reducing infrastructure costs by 40%.

AWS Glue Lambda Airflow DBT S3 Snowflake PySpark SQL Server Oracle MongoDB RDS Power BI Looker Amazon MSK (Kafka)Kafka Terraform CloudFormation IAM RBAC KMS Secrets Manager Python Pandas NumPy scikit learn Cloudwatch Grafana

Data Engineer

PayPal

Feb 2021 - Apr 2022 (1 year 2 months)

Created DevSecOps pipelines using GitLab, Jenkins, and Terraform, and worked on real-time, event-driven data pipelines processing billions of transactions daily using Apache Kafka, Spark Streaming, and Apache Flink with sub-second latency.