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Design and maintain high-performance data pipelines and cloud architectures using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to deliver clean, secure data for analytics and AI teams.
Build and deploy data pipelines, models, and dashboards for insurance clients using Python, SQL, and cloud tools to turn raw data into actionable insights and AI use cases.
Design and implement scalable cloud data pipelines and warehouses for clients using GCP/AWS/Azure, BigQuery, Spark, and DevOps practices.
Build and maintain scalable data pipelines on Databricks using Scala, SQL, and ETL/ELT tools to feed a modern lakehouse architecture.
Builds and maintains data pipelines using Python, SQL, Hadoop, Spark, and cloud platforms (AWS/GCP) for a tech-consulting firm.
Build and maintain cloud-based data pipelines and ML infrastructure for clients, leveraging cloud technologies to solve diverse data challenges.
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