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Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, focusing on healthcare data pipelines and ETL/ELT workflows.
Architect and maintain scalable data pipelines and warehouses (Snowflake, Redshift, Athena) to power analytics and AI workflows, using Python, SQL, Airflow, and Kafka.
Architect and maintain scalable data pipelines and cloud infrastructure to power analytics and AI-driven workflows using Snowflake, AWS Redshift, and Athena.
Design and build scalable data pipelines and platforms to power analytics and AI solutions using cloud technologies like AWS, Databricks, and Snowflake.
Build and maintain scalable data pipelines and AI/ML platforms using AWS, Snowflake, and Databricks to support analytics and model delivery.
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, migrating and modernizing healthcare data pipelines and ETL workflows.
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Build and maintain scalable data systems, design ETL/ELT pipelines, and optimize data quality using AWS, Python, SQL, and Spark for analytics and ML workloads.
Build and maintain ETL/ELT pipelines and data integration solutions using SQL, Python, and cloud tools like AWS Glue and Lambda.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Designs and builds ETL pipelines in AWS Athena, writes SQL queries, and creates Tableau dashboards to deliver business insights.
Design and build scalable cloud data pipelines and platforms using AWS services, Python, PySpark, and Databricks to deliver reliable, high-quality data for analytics and decision-making.
Designs and maintains ETL pipelines, writes SQL queries, and builds Tableau dashboards to deliver reliable data insights for business decisions.
Lead a team to build and maintain ETL pipelines and a data lake for a marketing analytics platform using AWS S3, Airflow, and Athena.
Builds Databricks pipelines and migrates Redshift data to Databricks using AWS services like S3, Glue, and Athena.
Build and run Databricks pipelines and jobs to migrate data from Amazon Redshift, using AWS services like S3, Glue, and Athena while applying data governance practices.
Data Engineer to migrate a company’s data stack from Amazon Redshift to Databricks, building and running ETL pipelines while collaborating with stakeholders.
Senior role managing Databricks environments, Delta Lake tables, and multi-cloud data pipelines using Python, SQL, and PySpark for reliable data delivery.
Designs and maintains ETL pipelines using AWS Athena, writes SQL queries, and builds Tableau dashboards to validate and deliver data for analytics.
Build and maintain cloud-native data pipelines on AWS, landing data into Snowflake via dbt Cloud and Python, while optimizing performance and cost for analytics-ready datasets.
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