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Sakchham Shrestha

@sakchhamshrestha

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Senior Data Engineer specializing in cloud-native, compliant lakehouse architectures.

United States

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What I'm looking for

I seek senior data platform roles building secure, cloud-native lakehouse systems with strong governance, automation, and cross-functional impact.

I am a results-driven Senior Data Engineer with 7+ years building and scaling cloud-native data platforms across healthcare, finance, and insurance. I design batch, real-time, and event-driven architectures on Azure, AWS, and GCP while ensuring compliance with HIPAA, SOX, and 21 CFR Part 11.

I have led Medallion lakehouse implementations, standardized transformations with dbt, automated orchestration with Airflow/Step Functions, and optimized performance to reduce cloud costs and improve SLAs. My work has enabled self-service analytics, accelerated ML pipelines, and migrated large OLAP/OLTP systems to cloud data lakes.

I mentor engineering teams, drive infrastructure-as-code automation with Terraform/ARM/Bicep, and prioritize data governance, lineage, and security to deliver production-grade, highly available data systems that support critical business and compliance needs.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

CVS Health

Oct 2023 - Present (2 years 4 months)

Standardized dbt transformations and built Medallion lakehouse on ADLS Gen2, improving governance and reducing downstream errors while increasing query performance ~40% and achieving 98% pipeline availability.

Azure Data Factory Pyspark DBT Terraform Airflow Synapse Power BI

Data Engineer

Johnson & Johnson

Jan 2021 - Aug 2023 (2 years 7 months)

Built and scaled a streaming platform on AWS Kinesis processing 500K+ events/sec, integrated real-time and batch pipelines for SageMaker training, and reduced ETL costs and runtimes by >50%.

AWS Kinesis AWS Glue Redshift Pyspark Terraform Sagemaker Docker Great Expectations

ETL Developer

JPMorgan Chase

Jan 2019 - Dec 2020 (1 year 11 months)

Developed 200+ SSIS ETL workflows processing 20M+ records/day, redesigned dimensional warehouse to cut report generation time 65% and reduced nightly batch loads from 4 hours to 45 minutes.