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Build and scale production-grade data pipelines and Lakehouse infrastructure using Azure, Databricks, Python, and Spark to power analytics and AI for enterprise risk and financial advisory services.
Builds and scales a Microsoft Fabric-based data lakehouse, integrating Dataverse and enterprise systems, and enabling Power BI reporting and AI initiatives.
Builds and optimizes enterprise data pipelines and Lakehouse layers using Microsoft Fabric, Power BI, and Dataverse to support AI-driven analytics and reporting.
Senior Data Engineer builds and maintains AI-ready data pipelines for Kroll, collaborating with teams serving financial institutions and government agencies while mentoring junior engineers.
Build and maintain Snowflake data pipelines and warehouses that centralize fund data, automate reporting, and power client-facing analytics dashboards.
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI models, RAG search, and enterprise analytics for a Fortune 500 company.
Designs and builds scalable Azure-based data pipelines and storage solutions using Synapse, Databricks, and Fabric to enable reliable, high-quality data platforms.
Build and maintain scalable ETL/ELT pipelines in Azure Data Factory and Databricks to move and transform financial data into Manulife’s data warehouse.
Builds and maintains ELT/ETL pipelines and data marts for a retail analytics platform, transforming OLTP data into governed, business-ready datasets for reporting and forecasting.
Builds and maintains ETL pipelines, data models, and Spark-based transformations on Azure and Databricks to power analytics and reporting.
Designs and builds scalable data pipelines on Azure to ingest, transform, and store healthcare data for analytics using Databricks, Data Factory, and Delta Lake.
Build and maintain scalable data pipelines for market abuse surveillance, ingesting trade, market, and communications data into AWS and Snowflake while enforcing data quality and regulatory compliance.
Design and build Snowflake-based ELT pipelines, ensure data quality, and lead GenAI initiatives using Snowflake Cortex AI features.
Build and maintain GCP-based data pipelines and analytics for enterprise clients, using Python, SQL, Airflow, and BigQuery to ensure reliable data ingestion and reporting.
Design and maintain scalable ETL/ELT pipelines to ingest and transform network telemetry data into an optimized data mart for analytics, ensuring high availability, data quality, and governance.
Design and maintain scalable data marts and ELT pipelines using DBT, Fivetran, and SQL to power analytics for e-commerce and logistics platforms.
Build and maintain scalable batch and streaming data pipelines in AWS + Databricks, using Python, SQL, and modern lakehouse architectures to power analytics and reporting for a fast-growing fintech lender.
Builds and maintains data pipelines for AI training and analytics using Databricks, GCP, and Azure, ensuring clean data for models and reporting.
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI model training, RAG-based search, and enterprise analytics.
Design and maintain scalable data pipelines and integrations for education technology products, ensuring data quality, governance, and security while mentoring teams.
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