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Build and maintain scalable data pipelines and lakehouse platforms using Databricks, Spark, Delta Lake and Azure to support anti-financial-crime analytics and reporting for PwC’s global clients.
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
Build and maintain scalable data pipelines and lakehouse platforms using Databricks, Spark, Delta Lake, and Python to support anti-financial-crime analytics and reporting for global PwC clients.
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to deliver analytics-ready datasets for GenAI and business use cases.
Lead a team to build and optimize Databricks-based ETL/ELT pipelines using Python/SQL, Delta Lake, and cloud platforms (Azure/AWS/GCP) for large-scale data processing.
Build and migrate enterprise data platforms to Microsoft Fabric, designing cloud-based analytics, pipelines, and governance for large-scale transformations.
Lead a Databricks-based data engineering team to build and optimize ETL/ELT pipelines, Delta Lake tables, and cloud data warehouses using Python, SQL, and Azure/AWS/GCP.
Build and maintain Mettler Toledo’s data platform, creating scalable pipelines and ensuring high-quality data flows for analytics and AI/ML using Databricks, Snowflake, and Python.
Builds and optimizes Databricks/Spark pipelines and Delta Lake models to power BI dashboards and ML workloads for a global brewer’s data ecosystem.
Lead a team building and scaling Python-based data pipelines and models for regulatory reporting in finance, using Spark, Databricks, and Azure to process large volumes of data in batch and stream modes.
Senior Python Data Engineer builds and maintains scalable data pipelines and models for regulatory reporting in finance, using Python, Spark, and Databricks to process high-volume batch and streaming data.
Build and automate predictive models, ETL pipelines, and monitoring systems using Python, Databricks, and Azure to power AI-driven marketing analytics and campaign optimization.
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Senior Data Engineer builds and optimizes Databricks lakehouse pipelines in PySpark/Delta Lake, manages Unity Catalog access, and tunes Spark for real-time and batch workloads.
Designs and maintains scalable data pipelines and a central data platform using Databricks, Snowflake, and Python to power analytics and AI/ML across the organization.
Senior data engineer builds and maintains real-time data pipelines and scalable analytics for regulatory reporting using SQL, Python, Databricks, Spark, and Delta Lake.
Senior Data Engineer builds and maintains cloud-based ETL pipelines and data architectures using Python, Spark, and cloud platforms to power analytics and ML for global clients.
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