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Lead a team building scalable data pipelines and platforms for enterprises using Spark, Airflow, and cloud tech to process terabytes of streaming and batch data for analytics and ML.
Lead a team of data engineers to build and maintain real-time data pipelines and ML infrastructure for an AI-driven company using Python and SQL.
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.
Leads large-scale data migration projects, designs ETL pipelines, and ensures seamless transitions between systems using Informatica, RDBMS, AWS, and Java.
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Azure Data Factory, Databricks, and SQL Server, ensuring high-quality financial data for decision-making.
Lead a team building cloud data lakes and pipelines using Databricks, Python, and Azure/GCP, balancing hands-on development with technical leadership.
Lead a cloud-native AWS data platform powering GenAI insights and underwriting intelligence, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Lead a Snowflake-based data platform team to build and automate a Single View of Customer for Aviva UK, using Python, SQL, Airflow, dbt, and cloud-native pipelines while coaching engineers and aligning with enterprise standards.
Lead a cloud-native AWS data platform powering underwriting intelligence and GenAI-driven insights, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Lead a team building an AWS-native data platform that powers underwriting intelligence and GenAI-driven insights using Python, .NET, Aurora PostgreSQL, OpenSearch, and LangGraph.
Lead a team to design and build scalable data platforms (Data Lakes, pipelines) using Python, SQL, Spark, and GCP, while mentoring engineers and aligning architecture with business needs.
Lead a global team to build and optimize data pipelines and platforms using Python, SQL, Databricks, and cloud tools, ensuring scalable, high-quality data management for a large pharmaceutical company.
Lead the design and implementation of scalable data pipelines and platforms for real-time analytics, optimizing performance and reliability across AWS/GCP while mentoring engineers.
Lead a team to build and maintain cloud-native data platforms and pipelines on Azure, AWS, and GCP, ensuring scalable, secure, and governed data flows for enterprise clients.
Lead a team to build cloud-native data pipelines and an ODS platform using Kafka, containerized microservices, and CI/CD for Aviva’s enterprise data foundations.
Lead a team to design and build Azure-based data pipelines and platforms, ensuring robust data governance and architecture for business stakeholders.
Leads a team to design and scale Azure-based data solutions for environmental goals, using Agile and automation.
Lead a team to design and build scalable data pipelines using PySpark, AWS, and Databricks for enterprise clients.
Lead a remote team to design and build scalable data pipelines using Python, PySpark, SQL, AWS, and Databricks, mentoring engineers and solving enterprise data challenges.
Lead a team to design and build scalable data pipelines using Python, SQL, and Databricks/PySpark, while mentoring engineers and guiding technical direction for data initiatives.
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