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Ashish Shrestha

@ashishshrestha2

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Data engineer specializing in cloud-native, scalable analytics solutions.

United States

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What I'm looking for

I am looking for a senior data engineering role building secure, scalable cloud-native data platforms with strong DevOps, automation, and collaboration with data science teams.

I am a results-driven Data Engineer with over 6 years of experience designing and implementing scalable data solutions across AWS, Google Cloud, and Microsoft Azure. I specialize in end-to-end data analytics, ETL pipeline development, data warehousing and lakes, and have delivered measurable improvements such as 50% reduction in query complexity, 35% faster warehouse query performance, and 60% faster Spark processing.

I build secure, compliant data platforms (HIPAA, GDPR) using tools like Apache Spark, AWS Glue, Snowflake, dbt, Kafka, Terraform and Kubernetes, and I collaborate closely with data scientists to operationalize ML workflows. I emphasize automation, cost optimization, observability, and strong DevOps practices to drive reliable, production-ready data products.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Spring Health

Dec 2022 - Present (2 years 10 months)

Developed and optimized ETL and real-time pipelines using AWS Glue, Lambda, Step Functions, Airflow and Kafka for behavioral health analytics, reducing processing time by 60% and improving data accuracy by 40% while ensuring HIPAA/GDPR compliance.

AWS Glue Apache Spark Snowflake Apache Airflow Kafka DBT Terraform Python Snowflake RBAC

Data Engineer

Wells Fargo

Feb 2020 - Sep 2022 (2 years 7 months)

Led multi-cloud data platform migrations and built ETL pipelines with Spark, ADF and Dataflow, reducing processing times by 35%, cutting cloud costs 20% and improving pipeline reliability by 40% for financial datasets.

Apache Spark Azure Data Factory Dataflow Databricks BigQuery Azure Synapse Terraform Apache Kafka DBT

Data Engineer

Texas Mutual Insurance Company

Dec 2018 - Jan 2020 (1 year 1 month)

Designed and implemented ETL workflows and Redshift data warehouse solutions using AWS Glue and Spark, improving processing speed by 30% and reducing integration time by 35% for claims and underwriting data.