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Nithin Neerudu

@nithinneerudu

Message

Experienced Data Engineer specializing in scalable, compliant cloud ETL and analytics.

United States

Message

What I'm looking for

I seek cloud-focused data engineering roles building secure, automated ETL and analytics platforms in collaborative, compliance-driven organizations where I can drive impact and scale.

I am a Data Engineer with 4+ years building scalable ETL pipelines and analytics solutions across healthcare and banking, leveraging AWS, Azure, and GCP to deliver compliant, production-grade data platforms. I have driven measurable improvements—such as 35% faster data retrieval and 60% faster release cycles—by implementing automated, secure ingestion and CI/CD practices.

My work focuses on solving complex data challenges with technologies like AWS Glue, Redshift, BigQuery, Databricks, and Airflow while ensuring HIPAA, GDPR and PCI-DSS compliance. I enjoy collaborating with stakeholders to create dashboards and data marts that turn raw data into actionable insights and business value.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

CVS Health

Jun 2024 - Present (1 year 5 months)

Designed and maintained AWS-based ETL pipelines for EHR and patient data, improving data retrieval speeds by 35% and ensuring HIPAA-compliant integration with Redshift and AWS HealthLake. Automated real-time ingestion using Lambda and Glue, containerized services with EKS, and integrated CI/CD to reduce downtime.

AWS Glue Amazon S3 Amazon Redshift AWS Lambda Python Docker Amazon EKS CI CD HIPAA

Data Engineer

Accenture

Dec 2020 - Jun 2023 (2 years 6 months)

Built cloud ETL and analytics solutions using Azure Data Factory, Synapse, BigQuery and Dataflow; implemented Delta Lake/Hudi for ACID transaction logs, reducing reconciliation effort by 60% and accelerating release cycles via Jenkins and Docker. Ensured IAM, encryption, and regulatory compliance (PCI-DSS, GDPR).