
Radhika Pariyar
@radhikapariyar
I build secure, scalable cloud data platforms for healthcare, insurance, and analytics.
What I'm looking for
At Cardinal Health, I build modular Spark and PySpark pipelines on Azure Databricks and Delta Lake for financial and operational data. I migrated Hadoop and Hive workloads to Azure Synapse and Databricks, improving query performance by 3×.
Across UnitedHealth Group and Ford Motor Company, I've delivered multi-cloud ETL, streaming, warehousing, and governance solutions using Spark, Kafka, Airflow, dbt, Azure, AWS, and GCP. I also mentor engineers, build production ML integrations, and focus on reliable, audit-ready data platforms.
Experience
Work history, roles, and key accomplishments
Built modular Spark and PySpark pipelines using Medallion Architecture on Azure Databricks with Delta Lake. Migrated legacy Hadoop and Hive workloads to Azure Synapse and Databricks, improving query performance by 3x and reducing maintenance overhead.
Data Engineer
United Health Group
Mar 2021 - Jan 2024 (2 years 10 months)
Led migration of data infrastructure to Microsoft Azure and Google Cloud, improving scalability and performance for financial datasets. Developed and optimized scalable ETL and streaming pipelines using Spark-based frameworks, improving end-to-end data processing efficiency across financial and clinical datasets.
Designed scalable data pipelines supporting connected-vehicle analytics and manufacturing insights. Built efficient ETL/ELT workflows to improve data movement and reduce processing time.
Education
Degrees, certifications, and relevant coursework
Avila University
Master's, Business Analytics
Master's in Business Analytics from Avila University.
AWS
AWS Certified Data Engineer - Associate, Data Engineering
Certified as an AWS Data Engineer Associate.
Tech stack
Software and tools used professionally
OpenAPI
Amazon Redshift
Snowflake
Stitch
Airbyte
Fivetran
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
Talend
Tableau
Looker
Amazon Quicksight
Amazon S3
AWS Step Functions
Kubernetes
AWS CodePipeline
Jenkins
GitHub Actions
GitLab CI
NumPy
Pandas
PySpark
dbt
Sqoop
PostgreSQL
MongoDB
Cassandra
Oracle
Hadoop
Vertica
Redis
Terraform
Azure DevOps
Jira
JavaScript
Python
Scala
Azure Machine Learning
TensorFlow
PyTorch
MLflow
scikit-learn
Kafka
Apache NiFi
Apache Pulsar
Flask
FastAPI
PagerDuty
Grafana
Prometheus
Datadog
Confluence
GraphQL
Amazon Kinesis
Amazon Kinesis Firehose
Elasticsearch
AWS Lambda
Azure Functions
Shell
Azure SQL Database
Kafka Streams
pytest
Docker
Airflow
Apache Beam
Amazon EMR
Amazon Athena
SQL
SAP
Amazon SageMaker
Azure Cosmos DB
Prefect
XGBoost
AWS KMS
Monte Carlo
Delta Lake
Great Expectations
Collibra
Bash
Unity Catalog
Power BI
Apache Kafka
Availability
Location
Authorized to work in
Salary expectations
Skills
Interested in hiring Radhika?
You can contact Radhika and 90k+ other talented remote workers on Himalayas.
Message RadhikaGet matched with your dream remote job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
