Open to opportunities

Ritika Shah

@ritikashah

Message

Senior Data Engineer specializing in cloud-native scalable data platforms and pipelines.

United States

Message

What I'm looking for

I seek senior-level roles designing cloud-native data platforms that emphasize governance, real-time pipelines, cost optimization, and cross-team collaboration.

I am a seasoned Senior Data Engineer with over seven years building scalable, secure data platforms across healthcare, finance, pharma, and retail. I specialize in cloud-native architectures across AWS, Azure, and GCP to enable real-time analytics and AI/ML initiatives.

My work focuses on designing and operating large-scale data lakes and lakehouses, serverless and containerized ETL, event-driven streaming, and data marts using tools like Glue, Databricks, Redshift, Synapse, and BigQuery. I emphasize cost optimization, governance, and automation to deliver reliable data products.

I have led implementations that include HIPAA- and regulatory-compliant pipelines, fine-grained access controls, data quality automation with Great Expectations, and CI/CD for infrastructure and ETL. I collaborate closely with data science, BI, and DevOps teams to translate business needs into highly available technical solutions.

I take pride in driving platform standardization, operational efficiency, and documentation for self-service analytics while mentoring teams on best practices for data modeling, lineage, and secure data access.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Banner Health

Apr 2022 - Present (3 years 9 months)

Designed and managed enterprise-scale AWS data lake and serverless ETL pipelines to process EHR and claims data, enabling sub-minute data availability and improving data quality with automated validations. Implemented fine-grained access controls, Redshift data marts, and cost-optimization practices to support analytics and SageMaker feature store consumption.

AWS Glue S3 Kinesis Lambda Redshift Pyspark Great Expectations Step Functions

Senior Data Engineer

JPMorgan Chase

Jun 2019 - Mar 2022 (2 years 9 months)

Built Azure-based data lake and Databricks ETL pipelines to support near-real-time financial reporting and compliance, implementing delta tables, automated CI/CD, and streaming solutions for trade events. Led metadata and governance efforts using Azure Purview and implemented masking/tokenization for sensitive financial data.

Azure Data Factory Databricks Synapse Delta Lake Pyspark Azure DevOps

Data Analyst

AbbVie

Sep 2017 - Apr 2019 (1 year 7 months)

Developed SSIS ETL workflows and T-SQL procedures to ingest and transform clinical trial and lab data, maintained EDW structures for regulatory reporting, and migrated legacy reporting to SQL Server to improve performance and audit compliance. Supported data quality, MDM processes, and regulatory-ready reporting.