Open to opportunities

Ishu Pokhrel

@ishupokhrel

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Senior Data Engineer driving cloud-native, secure, scalable data platforms.

United States

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What I'm looking for

I seek a role building secure, cloud-native data platforms with real-time pipelines, strong governance, and opportunities to lead teams and modernize data architectures.

I am a Senior Data Engineer with 6+ years delivering enterprise-scale, secure, cloud-native data platforms across insurance, healthcare, and financial sectors, specializing in real-time processing, data lakes/lakehouses, and analytics on AWS and Azure. I design and implement scalable batch and streaming pipelines, CI/CD-enabled workflows, OLAP models, and event-driven APIs to support fraud detection, underwriting, regulatory reporting, and clinical intelligence.

I have led cross-functional teams, mentored engineers, and driven governance, observability, and security programs aligned with HIPAA, PCI, and SOC 2 standards, while optimizing costs and enabling production ML scoring and real-time inference. My hands-on tech leadership includes Delta Lake, PySpark, Spark Structured Streaming, Kafka, dbt, Airflow, Terraform, Redshift, Snowflake, SageMaker, Great Expectations, and monitoring with Prometheus/Grafana.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Allstate

May 2023 - Present (2 years 8 months)

Led design and delivery of enterprise-scale data platforms for underwriting, fraud detection, and regulatory reporting, migrating legacy Hadoop workloads to EMR/Delta Lake and integrating 100+ feeds to enable real-time analytics and model scoring.

Pyspark AWS Glue Delta Lake EMR DBT Redshift Snowflake AWS Lambda Great Expectations

Data Engineer

UnitedHealth Group

Jan 2021 - Apr 2023 (2 years 3 months)

Modernized payer–provider data infrastructure on Azure using Databricks and ADLS Gen2, built streaming and batch ETL for claims and clinical data, and implemented HIPAA-compliant data lake architectures and CI/CD pipelines.

Databricks Azure ADLS Gen2 Delta Lake Azure Data Factory DBT Terraform Great Expectations

Data Analyst/Engineer

Cigna

Aug 2019 - Nov 2020 (1 year 3 months)

Built Spark-based ETL and streaming pipelines on EMR and Kafka/Kinesis to process enrollment, claims, and provider data, migrated Hive jobs to SparkSQL, and optimized ETL runtimes from >2 hours to <45 minutes.