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Khateja Begum

@khatejabegum

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Senior Data Engineer building cloud-native, real-time data pipelines that power reliable analytics at enterprise scale.

United States

Message

What I'm looking for

I’m looking for a senior data engineering role where I own end-to-end batch/streaming pipelines on AWS/Azure, optimize performance, and build reliable lakehouse architectures with strong cross-functional collaboration.

I’m a Senior Data Engineer with 9+ years building cloud-native, scalable data platforms across Healthcare, Telecom, Retail, and Banking. I design and operate high-throughput batch and real-time pipelines using Apache Spark, Kafka, Airflow, and Hadoop on AWS and Azure, with a strong focus on performance optimization, data reliability, and production-ready delivery.

In my current role, I built and maintained AWS and hybrid pipelines integrating data from 20+ hospital systems while maintaining 99.9% data accuracy. I’ve also migrated 10+ on-prem data platforms to cloud (AWS, Azure, and Snowflake), improved pipeline performance by up to 75%, and supported enterprise data models across 100+ subject areas—along with governance and quality improvements that reduced recurring data issues by ~40%.

Experience

Work history, roles, and key accomplishments

Current

Sr. Data Engineer

Current

AssistRx

Sep 2021 - Present (4 years 8 months)

Built and maintained cloud-based AWS/hybrid data pipelines integrating data from 20+ hospital systems while maintaining 99.9% data accuracy. Designed real-time Kafka + Spark Streaming pipelines and migrated legacy ETL to AWS Glue/Spark, improving performance by ~40% and reducing manual data validation/transforms by ~70%.

Apache Spark Kafka Apache Airflow AWS Glue AWS S3 AWS RedShift AWS DynamoDB AWS Lambda Pyspark Scala

Data Engineer

Lumen Technologies

Apr 2019 - Aug 2021 (2 years 4 months)

Designed and tuned enterprise data platforms on Teradata, Hadoop, and AWS, improving complex Amazon Redshift query performance by up to 100x. Built and maintained ETL pipelines (DataStage, Informatica, Python) and supported real-time analytics by integrating AWS Lambda ingestion with Hive-based reporting dashboards.

Amazon Redshift Teradata Hadoop Apache Spark Kafka AWS Lambda AWS Glue Informatica IBM DataStage Tableau

Sr. Data Modeler / Data Analyst

Workforce

Sep 2016 - Mar 2019 (2 years 6 months)

Designed enterprise EDW and data mart models using Inmon and Kimball methodologies, supporting HR analytics, payroll reporting, and regulatory compliance. Automated Oracle-to-Snowflake ingestion with Python, reducing ETL runtimes by ~25%, and managed SCD Type I/II/III plus SSRS reporting for workforce KPIs.

Data Modeling Erwin Data Vault Oracle Snowflake SSIS Python

Data Analyst

Optum

May 2014 - Aug 2016 (2 years 3 months)

Built logical and physical healthcare analytics data models and designed star/snowflake schemas in ERwin to support BI, regulatory, and compliance reporting. Developed SSIS/Informatica ETL workflows, authored T-SQL data quality enforcement, and tuned Teradata/SQL Server queries to improve report refresh performance.

Informatica SSIS Erwin Data Modeler Teradata Oracle SQL Server T SQL