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TARUN KALVA

@tarunkalva

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Senior Data Engineer specializing in cloud-native, big data, and LLM-powered analytics solutions.

United States

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What I'm looking for

I seek a senior data engineering role building cloud-native, compliant data platforms and LLM-enabled analytics, with cross-functional collaboration and growth.

I am a Senior Data Engineer with 9+ years building scalable cloud-native and big-data platforms across AWS, Azure, and GCP, specializing in ETL/ELT, Snowflake, Databricks, and PySpark. I design high-performance data warehouses, optimize large Spark workloads, and deliver self-service BI with Tableau, Power BI, and Looker.

I build production-ready ML/AI data pipelines and LLM-powered services using LangChain, Hugging Face, OpenAI, Vertex AI, and SageMaker, and integrate vector DBs (Pinecone, Weaviate, FAISS) for RAG workflows. I also implement governance, RBAC, compliance (SOX, HIPAA, NIST), and automated infrastructure checks with Terraform and Python.

I have led large migrations from Oracle, Teradata, and on-prem systems into cloud-first platforms (Snowflake, Synapse) and modernized legacy stacks using Airflow, Glue, ADF, Dataiku, and Databricks, enabling real-time analytics, cost optimization, and reliable data products for finance and healthcare stakeholders.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Capital One

Jan 2024 - Present (2 years 5 months)

Designed and implemented Foundry-based production data pipelines and Snowflake data warehouses for risk analytics, improving Spark job runtime by 40% and reducing Tableau refresh times by 35% while enabling LLM-powered query microservices for analysts.

Pyspark Snowflake Foundry Pinecone fastAPI Airflow Terraform

Azure Data Engineer

UnitedHealthcare

Aug 2021 - Dec 2023 (2 years 4 months)

Architected and implemented large-scale Azure data platform solutions (ADF, Databricks, Synapse) for healthcare analytics, improving data accuracy by 20% and reducing Snowflake compute costs by 40% through query and clustering optimizations.

Azure Data Factory Databricks Synapse Snowflake Pyspark Terraform Tableau Power BI Azure Event Hubs

Data Engineer

Marathon Petroleum

Apr 2018 - Jul 2021 (3 years 3 months)

Led migrations of Oracle/Teradata to AWS S3 and Snowflake and built PySpark/AWS Glue ETL pipelines processing IoT and transactional data, reducing EMR costs by 20% and enabling near-real-time analytics.

AWS Glue Pyspark Snowflake EMR Kafka Lambda Tableau SQL Airflow

Software Developer

Grantley

Sep 2015 - Dec 2017 (2 years 3 months)

Designed and automated cross-cloud ETL pipelines (AWS/GCP) using Airflow, Glue and PySpark, migrated on-prem workloads to cloud, and implemented CI/CD to reduce manual intervention by 50%.