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Vivekananda Rao Sutrave

@vivekanandaraosutrav

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Principal Data Engineer and Lakehouse Architect driving AI-ready enterprise platforms.

United States

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What I'm looking for

I seek senior roles building governed, AI-ready lakehouse platforms in regulated domains, focusing on architecture leadership, modernization, and cross-cloud interoperability.

I am a Principal Data Engineer and Lakehouse Architect with 15+ years designing enterprise-scale data, AI, and governance platforms across financial and healthcare domains. I specialize in building AI-ready Lakehouse architectures that deliver governed, high-performance data products for regulated environments.

I have deep hands-on expertise with Databricks (Delta, DLT, MLflow, Model Serving), Snowflake (Cortex, RBAC, External Tables), Apache Iceberg, Unity Catalog, PySpark, and vector-based AI workloads. My work emphasizes interoperability, semantic layers, and open-table patterns to enable cross-platform analytics and secure sharing.

I have led modernization programs, produced AS-IS and TO-BE architectures, and executed remediation roadmaps while aligning with regulatory requirements such as FRW, AML, and claims processing. I drive platform patterns across AWS and Azure, focusing on cost, performance, and operational resilience.

I deliver measurable outcomes including pipeline and query optimizations, compute cost reductions, faster reporting cycles, and robust validation frameworks. I mentor global teams and provide architecture leadership to ensure secure, auditable, and scalable data ecosystems.

Experience

Work history, roles, and key accomplishments

Current

Databricks Architect

Current

Wells Fargo

Dec 2023 - Present (1 year 11 months)

Architected a unified Databricks transformation layer (Delta, DLT) feeding Snowflake analytics, centralizing governance via Unity Catalog and Keystone and reducing BI/compliance reporting cycles by 45%.

Databricks Delta Lake Unity Catalog Snowflake Pyspark MLFlow Delta+Iceberg Interoperability Data Governance

Databricks Architect

JPMorgan Chase

Oct 2021 - Nov 2023 (2 years 1 month)

Delivered a regulatory-grade Lakehouse using Databricks (Delta, PySpark) and Snowflake, implemented Apache Iceberg for cross-platform interoperability, and improved performance by 40% while reducing compute cost by 25%.

Databricks Delta Lake Pyspark Apache Iceberg Snowflake MLFlow Kafka Spark Structured Streaming Airflow

Senior Data Engineer

Blue Cross Blue Shield of Florida

Jul 2019 - Sep 2021 (2 years 2 months)

Engineered large-scale Kafka streaming pipelines for healthcare claims with 99.9% reliability, built real-time fraud detection workflows and modernized batch workloads to streaming-first Databricks architecture, reducing processing delays by 35%.

Kafka Spark PySpark Databricks Streaming Data Architectures Fraud Detection Python Data Quality Delta Lake Observability

Data Engineer

Citi Bank

Jan 2017 - Jul 2019 (2 years 6 months)

Architected an AML transaction screening platform processing 20M+ transactions/day with zero regulatory breaches, designing rule-based detection engines and ETL pipelines that improved fraud detection accuracy by 25%.

AML Ab Initio SQL ETL Fraud Detection Data Architecture & Compliance Scalability

Data Engineer

JPMorgan Chase

Oct 2014 - Dec 2016 (2 years 2 months)

Designed and implemented Ab Initio ETL frameworks for enterprise data distribution supporting 50M+ accounts with sub-2-second latency, delivering regulatory-grade warehouse solutions and robust operational controls.

Ab Initio ETL Data Distributions Operational Controls SLA Management Performance Optimization

Data Engineer

Citi Bank

Oct 2009 - Sep 2014 (4 years 11 months)

Developed and maintained Ab Initio transformation frameworks for the CBNA data warehouse, contributed to HLD/DLD reviews and helped establish Ab Initio as the enterprise ETL standard for regulatory workloads.