Rashu Lamichhane
@rashulamichhane
Cloud-native data engineer and QA lead specializing in scalable data pipelines and test automation.
What I'm looking for
I am a cloud-focused Data Engineer and QA leader with over 6 years of hands-on experience across healthcare, insurance, automotive, and retail domains. I specialize in cloud-native testing and building scalable data pipelines using Azure Databricks and Snowflake.
I have designed and deployed automation frameworks and CI/CD-integrated testing for AWS and Azure, including serverless validation with Lambda and Azure Functions. My work emphasizes data quality, ELT validation, and performance benchmarking for large-scale claim and analytics workloads.
I modernize test ecosystems by introducing containerized environments, infrastructure-as-code validations (Terraform, CloudFormation), and test observability using CloudWatch, App Insights, and Log Analytics. I have led initiatives for HIPAA and SOC 2 compliance, secure handling of PHI/PII, and cost-aware test strategies.
I mentor junior engineers and collaborate with cross-functional teams to embed testing throughout the SDLC, delivering traceable, auditable validation across hybrid and multi-cloud deployments while optimizing test execution costs.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
The Hartford
Apr 2023 - Present (2 years 10 months)
Designed and deployed cloud-native QA and data validation frameworks in AWS, reducing regression infrastructure costs and validating ELT workflows into Snowflake; collaborated with data engineering to test PySpark Databricks jobs for large-scale claims analytics.
Azure Databricks Engineer
Humana Inc.
Dec 2020 - Mar 2023 (2 years 3 months)
Built scalable automation and data validation frameworks on Azure, migrating legacy suites to Azure DevOps and validating PySpark transformations in Databricks for health claims pipelines while supporting HIPAA/SOC2 compliance.
Implemented automation frameworks and data-driven test suites for retail systems, reduced execution time for regression runs, and performed ETL and backend SQL validations against Oracle and DB2 for data warehouse pipelines.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Bachelor of Science, Data Science
Completed a Bachelor’s degree in Data Science at the University of North Texas, focusing on data engineering and analytics fundamentals.
Tech stack
Software and tools used professionally
Postman
Azure Synapse
AWS Glue
Microsoft Azure
Stackdriver
Amazon S3
AWS Step Functions
GitHub
GitLab
Bitbucket
Kubernetes
AWS Fargate
Azure Kubernetes Service
Jenkins
GitHub Actions
Azure Pipelines
GitLab CI
PySpark
DB
PostgreSQL
Gmail
Databricks
Terraform
Azure DevOps
Jira
Mocha
Chai
Java
VBScript
XML
Apache JMeter
Grafana
Azure Monitor
Azure Active Directory
Ansible
AWS Lambda
Serverless
Azure Functions
JUnit
TestNG
REST Assured
SQL
Azure Blob Storage
ServiceNow
Playwright
Azure Logic Apps
Bash
k6
Factory
Remote
Availability
Location
Authorized to work in
Job categories
Skills
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