Open to opportunities

Shanmuka Srinivas Ch

@shanmukasrinivasch

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Senior Data Engineer specializing in cloud-native, compliant, high-performance data platforms.

United States

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What I'm looking for

I seek a senior engineering role building secure, cloud-native data platforms with strong governance, MLOps support, and opportunities to lead architecture and mentor teams.

I am a Senior Data Engineer with 12+ years building and modernizing cloud-native data platforms across Healthcare, Financial Services, Insurance, and Retail. I design high-throughput ETL/ELT pipelines, lakehouse and warehouse architectures, and real-time streaming solutions using AWS, Azure, and GCP to deliver analytics-ready, compliant data products that power BI and ML use cases.

I have led large-scale implementations with Snowflake, Redshift, Databricks, Glue, BigQuery and Kafka, driven CI/CD and IaC adoption with Terraform and GitOps, and mentored engineering teams to improve performance, observability, and governance. I partner with stakeholders to align data strategy to business outcomes and have a strong track record of delivering secure, cost-optimized, production-grade data platforms supporting HIPAA and financial compliance.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

AMN Healthcare Services Inc

Sep 2023 - Present (2 years 9 months)

Led design and optimization of large-scale AWS Glue, Snowflake, and Databricks pipelines to deliver high-throughput, low-latency analytics for healthcare operations and executive decision-making; ensured HIPAA-compliant data lakes and enabled real-time feature pipelines for ML-driven provider matching and forecasting.

AWS Glue Snowflake Databricks Python Pyspark S3 Data Governance Kafka MLOps

Senior Data Engineer

PNC Financial Services

Feb 2020 - Aug 2023 (3 years 6 months)

Designed and implemented scalable AWS data pipelines (S3, Glue, EMR, Redshift) and lakehouse architectures to support real-time risk analytics and regulatory reporting, improving query performance and reducing cloud costs via partitioning and optimization.

AWS S3 Glue EMR Redshift Apache Spark Python Kafka Terraform CI CD

Senior Data Engineer

Guidewire Software

Jun 2017 - Jan 2020 (2 years 7 months)

Architected end-to-end GCP data pipelines using BigQuery, Cloud Storage, and Dataflow to support insurance analytics; led ETL/ELT modernization with Spark/Dataproc and Airflow to improve data freshness and reporting performance.

BigQuery GCP Dataflow Cloud Storage Pyspark Apache Airflow Data Modeling

Data Engineer

Evolent Health

Jan 2015 - May 2017 (2 years 4 months)

Developed scalable ETL pipelines for claims and provider data using Azure Data Factory, SQL Server, and SSIS, enabling reliable population-health analytics while ensuring HIPAA-aligned data governance and quality controls.

Azure Data Factory SQL Server SSIS Azure Blob Storage T SQL Data Quality ETL Performance Tuning

Data Engineer

Kroger

Jul 2012 - Dec 2014 (2 years 5 months)

Designed and implemented AWS-based data pipelines (S3, EC2, EMR) and Redshift data warehousing solutions to process high-volume retail transactions, improving ETL throughput and enabling near-real-time merchandising analytics.