Abhishek Ghimire
@abhishekghimire
Senior Data Engineer building secure, scalable cloud data platforms and real-time ETL pipelines.
What I'm looking for
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
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%.
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%.
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.
Education
Degrees, certifications, and relevant coursework
Saint Cloud State University
Master's in Computer Science, Computer Science
Master's in Computer Science at Saint Cloud State University.
Tech stack
Software and tools used professionally
Amazon Redshift
Fivetran
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
AtScale
Amazon Quicksight
AWS IAM
Azure RBAC
Microsoft Azure
Google Cloud Platform
Amazon CloudWatch
Amazon S3
GitHub
Bitbucket
Kubernetes
AWS CodePipeline
Jenkins
GitHub Actions
AWS CodeBuild
PySpark
AWS Data Pipeline
dbt
HBase
Gmail
Databricks
Terraform
AWS CloudFormation
Azure DevOps
Jira
JSON
XML
AWS CloudTrail
Kafka
Amazon SNS
Azure Monitor
Amazon Kinesis
AWS Lambda
Azure Functions
Azure SQL Database
Airflow
Azure Analysis Services
Amazon EMR
SQL
Amazon SageMaker
ServiceNow
AWS KMS
Ray
Delta Lake
Great Expectations
Transform
Enhance
Microsoft Fabric
Factory
X++
Availability
Location
Authorized to work in
Job categories
Skills
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