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Design and maintain large-scale data pipelines using PySpark, Hadoop, and Azure services to process and transform semiconductor manufacturing data.
Design and build scalable data pipelines on Azure using PySpark, SQL, Airflow, and Kafka to deliver high-quality data products for Bosch’s large-scale platform.
Builds and maintains scalable finance data pipelines on GCP (BigQuery, Dataflow, Pub/Sub) to power reporting, FP&A, and analytics for McDonald's India, ensuring data reliability and governance.
Build and maintain automated test frameworks for AWS data services using Python, pytest, and boto3 to validate functionality and performance of cloud platforms like S3, Redshift, and Glue.
Lead a team building and running Cover Genius’s cloud data platform (BigQuery, Airflow, dbt, Dataflow) to ingest, process, and serve insurance-protection data for global e-commerce partners.
Build data pipelines, analytics tools, and automation for equity derivatives trading using Python, SQL, and cloud tools to support decision-making and trading strategies.
Build analytics tools and data pipelines for equity derivatives trading, partnering with traders and quants to automate workflows and support decision-making using Python, SQL, and cloud tools.
Build and maintain automated test frameworks for AWS data services using Python, pytest, and boto3 to validate functionality and performance of cloud platforms.
Build and maintain reliable, high-performance data pipelines for a global market maker, ensuring data accuracy and availability to support trading and research systems.
Build and deploy ML models for lending, credit risk, and portfolio performance on Azure/AWS, turning financial data into actionable insights for MA Financial Group.
Build and maintain reliable, high-performance data pipelines for a global market maker, ensuring data accuracy and availability to support trading and research operations.
Lead a team to build and maintain scalable data pipelines using SQL and Python, ensuring reliability and collaboration across analytics, data science, and product teams.
Build and maintain reliable data pipelines and SRE practices to ensure data accuracy and availability for Optiver’s global trading systems.
Build and maintain scalable data pipelines on AWS and Databricks, using Python, PySpark, and modern ETL/ELT frameworks to deliver reliable data across the organization.
Build and maintain data pipelines, warehouses, and models for sports/entertainment clients using Python, SQL, and cloud platforms like GCP/Azure to deliver actionable insights and commercial outcomes.
Designs and builds cloud data platforms on AWS, Azure, and GCP using SQL, Python, and ETL best practices for enterprise clients.
Build and maintain AI-driven data pipelines and cloud data warehouses using Snowflake, Databricks, dbt and Airflow to power property and mortgage analytics.
Designs and optimizes AWS-based data pipelines using Python, PySpark, Airflow, and Redshift/S3/DynamoDB/Snowflake for batch and real-time analytics.
Principal AI/Data Engineer designs and builds enterprise-scale data and AI solutions on Databricks and cloud platforms, while leading client engagements and translating complex tech into business value for executives.
Senior Data Engineer builds and optimizes cloud data platforms and pipelines for utilities and asset-heavy clients using Azure, Azure Data Factory, and Microsoft Fabric.
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