Mallipeddi Maruthi
Cloud Data Engineer @Molina Healthcare
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WORK HISTORY
Cloud Data Engineer @Molina Healthcare
US
Architected and delivered real-time data pipelines using Kafka, Apache Storm, and Spark Streaming, enabling low-latency analytics.Led the migration of on-premise data from Teradata to Azure Synapse and Snowflake, improving scalability and compliance.Integrated Large Language Models (LLMs) into ML pipelines using Databricks, MLFlow, and AutoML for predictive insights and automation.Built and orchestrated ETL workflows using Talend, Azure Data Factory, Apache NiFi, and Jenkins with full CI/CD automation.Established cross-cloud data processing pipelines integrating AWS Glue, Lambda, Kinesis, and Azure Key Vault.Created Power BI and Tableau dashboards supporting real-time business metrics for 50+ stakeholders.Deployed proactive monitoring using Splunk, Grafana, CloudWatch, and Log Analytics.
EDUCATION
Acharya Nagarjuna University (ANU), Guntur
Bachelor's degree, Computer Science
University of Cincinnati
Master's degree, Information Technology
ABOUT MALLIPEDDI MARUTHI
Experienced Cloud Data Engineer with over 9 years of expertise architecting and implementing scalable, cloud-native data solutions across AWS, Azure, and GCP. Proven ability to modernize legacy data infrastructures by leading end-to-end migrations to platforms such as Snowflake, Azure Synapse, and Google BigQuery, significantly improving performance, scalability, and data governance.Highly skilled in building real-time and batch data pipelines using Apache Spark, PySpark, Kafka, dbt, and cloud-native ETL tools including Azure Data Factory, AWS Glue, and Talend. Adept at integrating AI/ML solutions—such as Large Language Models (LLMs) and MLFlow—into analytics workflows to enhance predictive modeling and automation.Strong background in enterprise data governance, compliance, and security, leveraging tools like Collibra, Delphix, Apache Atlas, and cloud-based encryption services. Experienced in DevOps practices with Terraform, GitLab CI/CD, Docker, and Kubernetes for seamless deployment and infrastructure management.Recognized for delivering impactful solutions in healthcare, banking, and retail domains, with a focus on operational efficiency, data quality, and cross-functional collaboration. Actively seeking opportunities to contribute to innovative data-driven projects and cloud transformation initiatives.
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