LaShi H., MHIT

DevOps Engineer

United States9 yrs 3 mos experience

Highly StableAI Enabled

Key Highlights

Expert in building trustworthy data models.
Strong background in healthcare analytics.
Proficient in dbt and SQL for data transformation.

Stackforce AI infers this person is a Healthcare Analytics Engineer specializing in data modeling and reporting.

Contact

Skills

Core Skills

DbtSql

Other Skills

Data Build Tool (DBT)Project ManagementData AnalysisSelf LearningTechnical DocumentationContinuous Integration and Continuous Delivery (CI/CD)Business Process ImprovementBusiness Analysis Planning & MonitoringProduct ManagementTechnical SupportPrompt EngineeringMicrosoft ExcelCrystal ReportsDashboardsData Ingestion

About

I wanted to be a Physical Therapist. Instead, I became a Analytics Engineer. Turns out, I just really like systems and documentation. Today I build data models and metrics using dbt, SQL, and BigQuery with AI as my thought partner to move faster. I work in the healthcare space, supporting everything from operational reporting to clinical initiatives. My focus is making data trustworthy and easy to use. I don't just build models. I build trust. Let's connect if you want to talk data, healthcare, or why I chose dbt over physical therapy. 😎

Experience

9 yrs 3 mos

Total Experience

3 yrs

Average Tenure

3 mos

Current Experience

Ratio pbc

Senior Analytics Engineer

Feb 2026 – Present · 3 mos

Refactored and optimized dbt models to align with evolving business requirements and team workflows.
Partnered with engineering to build CI/CD pipelines, automating testing and deployment processes to improve delivery reliability.
Organized and expanded dbt documentation to improve model discoverability and support team knowledge transfer.

SQLDbt

Cityblock health

Analytics Engineer

May 2022 – Feb 2026 · 3 yrs 9 mos · Remote

Designed and built scalable dbt models in BigQuery to integrate member data from managed care organizations, electronic health records, and care management platforms, enabling reliable insights across care delivery and operations.
Established automated data testing, validation, and version control frameworks to ensure data quality and consistency throughout the product lifecycle.
Delivered Looker dashboards and downstream data products that turned complex operational data into actionable performance metrics for clinical, product, and operational stakeholders.
Served as a key bridge between product, engineering, and clinical teams to prioritize analytics features and roadmap enhancements aligned with strategic objectives.

Data Build Tool (DBT)SQLDbt

Health catalyst

Analytics Engineer

Nov 2018 – May 2022 · 3 yrs 6 mos · Remote

Built and maintained end-to-end data ingestion and ETL/ELT pipelines using Health Catalyst's Data Operating System (DOS), ensuring data integrity across enterprise reporting environments.
Wrote and optimized SQL queries to extract, transform, and validate healthcare data in support of clinical, operational, and financial reporting needs.
Collaborated with stakeholders to define KPIs and deliver tailored dashboards, presenting insights to leadership to inform strategic decisions.
Supported full-cycle analytics deployments, from requirements gathering through client training and knowledge transfer.
Contributed to Agile sprints, influencing backlog priorities and driving iterative delivery of analytics features.

SQLProject Management

Prisma health

Certified Clarity Report Writer

Feb 2017 – Nov 2018 · 1 yr 9 mos · On-site

Gathered and translated stakeholder requirements from clinical, operational, and administrative teams into automated Epic Clarity reporting solutions, improving organizational visibility and decision-making.
Designed and deployed standardized reports and dashboards using Epic Clarity and Reporting Workbench, increasing data accuracy and reducing manual workflows.
Developed and validated SQL queries against Epic's Clarity database to support clinical and operational reporting needs.
Partnered with cross-functional teams to conduct workflow analysis, deliver end-user training, and serve as a reporting subject matter expert during application rollouts.
Supported system release cycles by analyzing new Epic functionality and updating reporting solutions to maintain data integrity and continuity.

SQLData Analysis