Nisha Bista
@nishabista
Senior Data Engineer specializing in cloud-native Azure lakehouse platforms, Spark pipelines, and data governance.
What I'm looking for
I am a Senior Data Engineer with 6+ years building secure, scalable Azure-based data platforms across healthcare and insurance, focusing on lakehouse and analytics architectures using Databricks, Delta Lake, and Synapse. I design and optimize Spark batch and streaming pipelines, implement dbt transformation layers, and automate infrastructure with Terraform and CI/CD to deliver analytics-ready datasets that support BI and data science.
I prioritize data quality, governance, and regulatory compliance (HIPAA, audit-ready pipelines) while enabling self-service analytics and ML experimentation. My work has reduced pipeline runtimes and failures, improved observability and lineage, and supported thousands of internal users with predictable performance and data freshness SLAs.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
CVS Health
Nov 2023 - Present (2 years 3 months)
Designed and maintained an Azure-based Databricks lakehouse and Synapse analytics platform for pharmacy, benefits, and supply chain, reducing pipeline runtimes ~40% and enabling feature-ready datasets for data science and BI at scale.
Data Engineer
Allstate
Mar 2021 - Oct 2023 (2 years 7 months)
Developed cloud-native Azure data pipelines and curated Synapse datasets for underwriting, claims, and risk analytics, improving reliability and reducing recurring pipeline failures by ~30%.
Data Analyst/Engineer
Northwestern Mutual
Aug 2019 - Jan 2021 (1 year 5 months)
Built ELT patterns and dimensional models on Azure to support actuarial, finance, and investment analytics, implemented lineage and Purview-based metadata to improve audit readiness and reporting consistency.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Bachelor's, Data Analytics
Completed a Bachelor's degree in Data Analytics focused on analytical methods, data processing, and reporting to support business and actuarial decision-making.
Tech stack
Software and tools used professionally
Amazon Redshift
Airbyte
Fivetran
Matillion
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
Metabase
SAS
AWS Step Functions
GitHub
GitLab
Kubernetes
AWS CodePipeline
Jenkins
NumPy
Pandas
PySpark
dbt
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
HBase
Gmail
Databricks
Terraform
Azure DevOps
Jira
Java
PowerShell
TensorFlow
MLflow
scikit-learn
Kafka
Grafana
OpenTelemetry
Azure Monitor
Azure Active Directory
Azure Functions
Airflow
SQL
Hugging Face
LangChain
Refine
Delta Lake
Great Expectations
Transform
Enhance
Factory
Remote
Jan
Unify
Availability
Location
Authorized to work in
Job categories
Skills
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