Open to opportunities

Muna Kharel

@munakharel

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Senior data engineer building cloud-native analytics platforms on GCP.

United States

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What I'm looking for

I seek a senior engineering role building scalable, governed data platforms on cloud (GCP), focusing on observability, CI/CD, and compliance to support analytics and ML.

I am a senior data engineer specializing in cloud-native analytics on Google Cloud Platform, with deep experience delivering governed datasets and reliable pipelines for healthcare and insurance domains.

I design ELT models in dbt, build Python-based ingestion services, and apply advanced SQL for performant analytics and operational reporting. I prioritize observability, CI/CD, and automation to ensure pipeline reliability and fast incident triage.

My work has supported PHI-aware workflows and compliance needs (HIPAA, SOC2, GDPR-aligned practices) by enforcing least-privilege IAM, documenting lineage, and producing audit-ready datasets for clinicians, analysts, and data scientists.

I collaborate closely with product, analytics, and data science teams to translate requirements into maintainable data models and feature-ready datasets that accelerate analytics, ML experimentation, and business decision-making.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

eClinicalWorks

Jul 2022 - Present (3 years 6 months)

Built cloud-native analytics pipelines on GCP and dbt to deliver governed PHI datasets and feature-ready models for clinical, revenue cycle, and care operations, improving reliability and observability for healthcare analytics and ML workflows.

BigQuery Python SQL DBT Cloud Composer IAM GitHub Actions

Data Engineer

Vertafore, Inc.

Sep 2020 - Apr 2022 (1 year 7 months)

Developed GCP-based batch ETL and dbt transformation layers to standardize insurance policy, claims, and customer datasets, enabling reliable analytics and internal reporting for underwriting and finance teams.

BigQuery Python SQL DBT Cloud Composer GCS GitHub Actions IAM

Data Engineer

Bank of America

Aug 2019 - Aug 2020 (1 year)

Engineered large-scale Hadoop ETL workflows and HiveQL transformations to process multi-terabyte transactional and credit card datasets, improving performance and data quality for risk, fraud, and regulatory reporting.