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Abhishek Ghimire

@abhishekghimire

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Senior Data Engineer building secure, scalable cloud data platforms and real-time ETL pipelines.

United States

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What I'm looking for

I’m looking for a role where I can build secure, scalable multi-cloud data platforms—owning real-time/batch ETL, strong data models, quality frameworks, and CI/CD—while mentoring teams and partnering with BI/ML to deliver self-service analytics and reliable datasets.

I’m a Data Engineer with 6+ years of experience designing and delivering secure, scalable data platforms across AWS, Azure, and GCP. I specialize in building real-time and batch ETL/ELT pipelines using AWS Glue, Step Functions, Airflow, dbt, Lambda, and streaming tooling like Kinesis/Kafka/Firehose—supporting retail and healthcare analytics.

In recent roles, I’ve built centralized data lakes, modeled performant warehouse layers (Redshift/Snowflake/Synapse/BigQuery), and implemented data quality/validation frameworks to improve reliability and reduce reconciliation effort. I also lead with infrastructure as code (Terraform, CI/CD, orchestration) and fine-grained security (IAM, KMS, Key Vault, VPC endpoints), while collaborating with product, BI, and ML teams to deliver self-service dashboards and feature-ready datasets.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Kohl's

Apr 2023 - Present (3 years 2 months)

Designed and deployed a centralized S3-based data lake with AWS Glue Data Catalog and Redshift Spectrum across 8+ business domains, enabling scalable schema-on-read analytics. Built modular batch and real-time ETL using Glue, Step Functions, Lambda, Kinesis, and dbt, reducing SLA breaches by 40% and cutting query time by 45%.

AWS S3 AWS Glue Redshift Spectrum AWS Kinesis AWS Lambda Step Functions Airflow DBT Terraform QuickSight

Data Engineer

Cardinal Health

Feb 2021 - Mar 2023 (2 years 1 month)

Built enterprise healthcare pipelines on Azure using Data Factory, ADLS Gen2, Event Hubs, and Synapse to ingest and transform 50+ TB of EHR and claims data from 10+ upstream systems. Implemented secure streaming and CI/CD practices with Azure Key Vault/RBAC and Purview lineage, reducing audit preparation effort by nearly 40%.

Azure Data Factory Azure Event Hubs Azure Synapse Azure Key Vault Pyspark Snowflake Azure DevOps Power BI

Data Engineer

Lockheed Martin

Jul 2018 - Dec 2020 (2 years 5 months)

Built secure AWS and Azure ingestion pipelines using Glue, S3, EMR Spark, and Data Lake Storage Gen2 to process 100+ GB/day of IoT telemetry for mission-critical dashboards. Developed Redshift and Synapse analytics datasets and CI/CD automation with Terraform/CodePipeline, and integrated SageMaker inference for predictive maintenance.