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@nithinneerudu
Experienced Data Engineer specializing in scalable, compliant cloud ETL and analytics.
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.
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Work history, roles, and key accomplishments
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.
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).
Degrees, certifications, and relevant coursework
Master of Science, Computer & Information Systems
Master's in Computer & Information Systems from Christian Brothers University in Memphis, TN.
Software and tools used professionally
Postman
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Data Studio
Amazon S3
Kubernetes
Amazon EKS
AWS CodePipeline
Jenkins
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Cassandra
Gmail
Databricks
Java
TensorFlow
Kafka
Azure Monitor
Linux
Windows
Kali Linux
AWS Lambda
Amazon RDS
Airflow
Google BigQuery
Amazon EMR
SQL
AWS KMS
Burp Suite
Nmap
Metasploit
Delta Lake
Apache Hudi
Transform
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