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Ana Khawar User

@anakhawaruser

Message

I build reliable cloud data platforms, pipelines, and analytics datasets for healthcare and financial services.

United States

Message

At Omnicell, I design and maintain cloud data pipelines for healthcare analytics, operational reporting, and downstream data products. I build production ETL/ELT workflows with Python, PySpark, SQL, Databricks, Apache Spark, and dbt.

Previously at Insoftex and iRhythm Technologies, I developed governed warehouses, lakehouses, dimensional models, and batch and streaming pipelines for financial and clinical data. I use Kafka, AWS Kinesis, Airflow, AWS Glue, Redshift, and cloud data services to deliver reliable analytical datasets.

I focus on scalable, secure data solutions, including automated validation, lineage, monitoring, RBAC, encryption, masking, and HIPAA-aligned controls. I also contribute to technical design, code reviews, troubleshooting, documentation, and cross-functional delivery.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Omnicell

May 2024 - Present (2 years 5 months)

Design and maintain cloud data pipelines for healthcare analytics, building ETL/ELT workflows with Python, PySpark, SQL, Databricks, and dbt. Implement data quality, governance, and monitoring while optimizing Spark jobs and ensuring HIPAA-aligned security.

Python PySpark SQL Databricks Apache Spark DBT Kafka AWS Terraform Docker CI CD Data Quality Data Governance HIPAA

Senior Data Analytics Engineer

Insoftex

Jan 2022 - Apr 2024 (2 years 3 months)

Built ETL/ELT pipelines using Python, SQL, PySpark, AWS Glue, Redshift, dbt, and Airflow for financial and operational datasets. Developed dimensional models and curated datasets for Power BI and Tableau, implementing data quality and governance.

Python SQL PySpark AWS Glue S3 Redshift DBT Airflow Kafka AWS Kinesis Power BI Tableau AWS Sagemaker Terraform CI CD

Senior Data Engineer

iRhythm Technologies, Inc.

Jan 2020 - Dec 2021 (1 year 11 months)

Developed scalable ingestion and transformation pipelines for clinical and healthcare data using Python, PySpark, SQL, Apache Spark, and Airflow. Designed dimensional warehouse and lakehouse models, implementing data quality and HIPAA-aligned governance.

Python PySpark SQL Apache Spark Airflow Kafka Data Warehouse Lakehouse Data Quality HIPAA

Data Engineer

Halo Branded Solutions

Mar 2018 - Dec 2019 (1 year 9 months)

Developed ETL pipelines using Python, SQL, SSIS, and Talend to consolidate sales and operational data. Built dimensional models and automated processes, supporting Power BI and Tableau reporting.