Open to opportunities

Regan Maharjan

@reganmaharjan

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Senior Data Engineer with expertise in cloud-native data platforms.

United States

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can leverage my data engineering skills to drive impactful solutions.

I am a Senior Data Engineer with over 7 years of experience in designing and implementing cloud-native data platforms across various industries, including finance, insurance, healthcare, and retail. My expertise lies in building scalable ETL and streaming pipelines using AWS Glue, PySpark, and Kinesis, which have significantly improved data processing speeds and reduced operational costs.

Throughout my career, I have architected secure data lakes and integrated advanced data governance practices to ensure compliance with regulations such as HIPAA and GDPR. I have successfully migrated legacy ETL processes to serverless architectures, enhancing efficiency and reliability. My passion for data engineering drives me to continuously explore innovative solutions, such as AI-ready architectures and real-time analytics, to empower organizations with actionable insights.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Walmart

Oct 2023 - Present (2 years)

Built scalable ETL and streaming pipelines using Python, SQL, AWS Glue, PySpark, Kinesis Data Streams, and AWS Lambda, reducing data latency across operational dashboards to under one minute. Engineered fraud detection pipelines with Kinesis, PySpark, and Python, enabling real-time flagging of anomalous e-commerce behavior. Migrated legacy Oracle and SSIS pipelines to AWS-native serverless archite

Python SQL AWS Glue Pyspark Kinesis AWS Lambda Great Expectations Hugging Face LLMs Terraform CloudFormation Docker Jenkins Airflow Matplotlib QuickSight MongoDB DynamoDB Oracle SSIS JSON Git GitHub Actions LLM

Cloud Data Engineer

State Farm Insurance

Jul 2021 - Present (4 years 3 months)

Led full migration of legacy on-prem ETL workflows to AWS Glue, Lambda, and Amazon S3 using Python and SQL, reducing average ETL runtime by 60% and eliminating infrastructure overhead. Built robust real-time streaming pipelines with Kinesis Data Firehose, Glue Streaming, and Spark Structured Streaming to process over 1 million insurance-related events per hour. Designed fraud alerting frameworks u

Data Engineer

Berkshire Hathaway

Oct 2018 - Present (7 years)

Designed and deployed a centralized data lake architecture on AWS S3, ingesting data from Oracle, mainframe, and flat-file sources across multiple subsidiaries in insurance, finance, and reinsurance. Built optimized batch and streaming ETL pipelines using AWS Glue, Redshift Spectrum, Athena, and Python (PySpark) to support regulatory reporting, internal audits, and risk analytics. Migrated 100+ le

Education

Degrees, certifications, and relevant coursework

University of Michigan

Master of Science, Computer and Information Science

Completed a Master of Science in Computer and Information Science at the University of Michigan. Focused on advanced topics in computer science and information systems.