I'm Krishna — a Senior Data Engineer with 15+ years in enterprise data and 7+ years architecting cloud-native platforms on Snowflake, AWS, Azure Data Factory, and Microsoft Fabric. I lead modernization programs that retire legacy SQL Server data marts, replace DataStage ETL with cloud-native ELT, and stand up secure serverless data products.
A senior data engineer who's spent the last five years modernizing an enterprise data platform at a national bank — and the decade before that delivering enterprise ETL across healthcare, retail, insurance, and state-government clients.
Lead modernization at National Cooperative Bank — Snowflake migration from legacy SQL Server, a secure serverless financial data portal on AWS, hybrid pipelines on Azure Data Factory + Microsoft Fabric, and PySpark Lakehouse engineering on Databricks.
15+ years across enterprise data — IBM DataStage delivery for HCSC, USAA, NY State Dept. of Health, The Children's Place, Whataburger, and Payless. Big-program reliability, big-team delivery, and big-data domains.
Data products that are governed, observable, and pleasant to operate — Snowflake RBAC and resource monitors, AWS private endpoints + Secrets Manager, real-time monitoring for legacy ETL, idempotent PySpark notebooks, and SQL tuning when it matters.
A senior-level role focused on cloud data modernization — Snowflake, AWS, or Microsoft Fabric. Get in touch if that sounds like your team.
Hands-on across cloud data platforms, ETL/ELT, dimensional modeling, and security — with deep DataStage roots.
Five years leading cloud modernization at NCB; a decade of enterprise DataStage delivery before that.
A handful of programs I've led — each one a real cloud data platform decision rather than a side project.
End-to-end migration of a legacy on-prem data mart to Snowflake. Designed virtual warehouses, resource monitors, and RBAC; translated complex T-SQL into Snowflake SQL using Streams & Tasks; rewired DataStage ETLs into bulk loads via internal named stages.
Architected a serverless portal that lets bank customers view their managed entities. Cognito identity, API Gateway + Lambda authorization layer, DynamoDB-backed user/account hierarchy maintained by DataStage pipelines, and AWS Secrets Manager + private endpoints for FIS Global API calls.
Built lift-and-shift pipelines from on-prem EDW SQL Server into Fabric Warehouse using Azure Data Factory, then drove Fabric DataMart loads via stored procedures. Event streams + Activators auto-trigger Fabric loads on DataStage completion and refresh MicroStrategy reports.
Modular PySpark notebooks for file validation, transformation, and movement across Lakehouse staging — with automated archival of processed CSVs to ensure idempotent reruns and end-to-end traceability.
Built a real-time monitoring pipeline and operational dashboard over the DataStage ecosystem ingesting from 15+ core banking systems and external SOAP/REST APIs — giving Operations first-time visibility into batch performance.
Decade of leading IBM DataStage delivery — Medicaid enrollment / eligibility analytics for NY DOH (Cognos), clinical and member data for HCSC, and HR/EPM data for USAA. Type 1/2 dimensions, surrogate keys, Quality Stage cleansing, and DataStage 8.1 → 9.1 in production with no downtime.
I'm available for Senior Data Engineer roles focused on cloud data modernization, Snowflake, AWS, or Microsoft Fabric. Happy to chat about a specific role, an architecture you're working through, or a migration program you're scoping.