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Build and optimize scalable data pipelines on Databricks using Spark and Delta Lake, implementing ETL/ELT processes and ensuring data quality for analytics and compliance.
Designs and maintains scalable data pipelines and warehouses for a global game publisher, ensuring clean, reliable datasets for analytics and product decisions.
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and enabling analytics and ML workloads with PySpark and Delta Lake.
Build and optimize distributed data pipelines and AI analytics for networking using Spark, Kafka, Delta Lake, and Kubernetes in a cloud-native environment.
Lead a team to modernize data platforms by migrating to AWS and building scalable pipelines with Databricks, Informatica IDMC, and Tableau.
Designs and builds cloud data pipelines on AWS and Databricks, architecting storage solutions and optimizing ETL workflows for analytics and reporting.
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.
Lead the design and delivery of enterprise-scale data platforms for a bank, building scalable Lakehouse architectures with Databricks, Snowflake, and Apache Iceberg/Delta Lake/Hudi to support regulatory reporting, risk management, and AI-driven analytics.
Build and maintain scalable data pipelines on Databricks using PySpark, refactor legacy ETL to modern ELT, and ensure data quality and reliability for analytics.
Design and maintain scalable data pipelines and platforms using Databricks, PySpark, and cloud ecosystems for enterprise clients across multiple industries.
Build and maintain cloud data infrastructure on AWS and Databricks, using Python and Informatica IDMC to design pipelines, integrate data sources, and ensure quality and governance.
Build and optimize large-scale data pipelines to support AI model development using Python, Spark, and SQL.
Build and maintain scalable data pipelines in Databricks/Snowflake, ingest external financial data, and enforce data quality and governance for a fintech platform.
Design and run Databricks-based data/ML platforms on AWS for a financial-crime product, focusing on governance, security, and DevSecOps rather than Spark coding.
Build and optimize scalable data pipelines on Databricks (PySpark, Delta Lake) in Azure, design Medallion architectures, and collaborate with data scientists and BI teams.
Builds and maintains cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI in a modern Lakehouse architecture.
Build and maintain SOX-compliant Finance data pipelines and semantic models in Databricks and Power BI to deliver trusted, audit-ready data for Coty’s global reporting and analytics.
Build and maintain Azure Databricks pipelines and PySpark/SQL workloads on Delta Lake to integrate financial and ESG data for reporting and analytics.
Build and enhance a multi-dimensional indexing engine for Data Lakehouses using Java, Scala, and Rust, supporting open table formats like Iceberg.
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