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Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands like NFL and Lululemon.
Designs and builds scalable data pipelines and lakehouse architectures on Azure/Databricks to power analytics and ML, using ELT/ETL, star/snowflake schemas, and streaming/event-driven patterns.
Senior Data Engineer builds and maintains Java-based data pipelines and scalable systems for capital markets, using tools like Spark, Kafka, and Databricks to ensure data quality and performance.
Build and maintain Azure-based data pipelines, warehouses, and analytics solutions using Data Factory, Power BI, and GenAI to deliver real-time insights for enterprise clients.
Build and own petabyte-scale ETL pipelines for multi-sensor data to generate high-definition maps used by Waabi’s autonomy software and AI-driven simulator.
Leads data engineering teams to build cloud-based data pipelines using SQL Server and Python, while owning projects end-to-end.
Lead a data engineering and analytics team to build scalable pipelines, warehouses, and KPI frameworks that turn raw data into trusted business insights for a fintech startup.
Design and maintain data pipelines that feed medical analytics, building scalable infrastructure for clinical and claims data to support Pfizer’s drug development and regulatory efforts.
Builds and maintains Azure-based data pipelines and lakehouse/warehouse solutions using Databricks, PySpark, and Microsoft data stack to power analytics and applications.
Lead a data engineering and analytics team to build scalable data infrastructure and AI-powered analytics for a robotics-based delivery startup, ensuring reliable, governed data products for cross-functional decision-making.
Build and maintain Kafka pipelines that feed real-time and archival data stores for an investment bank, using Python and Unix scripting while collaborating with global teams.
Build and maintain scalable data pipelines in Databricks for a financial client, using PySpark, Azure, and medallion architecture to process batch and streaming data.
Builds and maintains data pipelines on Azure using PySpark, ADB, ADLS, and ADF to process and transform large datasets for enterprise clients.
Build and maintain data pipelines that feed AI agents in a proptech startup, using Python, SQL, and cloud tools to clean and organize data for models and insights.
Designs and implements Microsoft Fabric-based analytics platforms for an insurance client, focusing on lakehouse architecture, automation, and performance tuning for large datasets.
Lead a team to design and maintain Azure-based data platforms, integrating logistics data and mentoring engineers to deliver high-quality data products.
Build and maintain ETL pipelines, analyze financial data with Python/SQL, and create dashboards in Power BI to support treasury and finance decisions.
Lead the design and build of large-scale data pipelines and platforms using PySpark, GCP, and Airflow to power analytics, AI features, and real-time measurement for a major retail and media company.
Lead the design and delivery of enterprise-grade data and modeling solutions for Finance, building scalable pipelines, forecasting engines, and semantic layers on cloud data platforms to support FP&A, regulatory reporting, and analytics.
Lead the design and build of scalable Azure data pipelines and data lake solutions using Databricks, PySpark, and SQL to migrate and process enterprise data.
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