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Build and maintain data pipelines, analytics infrastructure, and data quality processes using SQL, Python, and GCP services for a sports-performance analytics platform.
Principal Data Engineer designs and optimizes secure data pipelines, warehouses, and real-time systems for a biotech company, using Python, Spark, Kafka, and cloud platforms.
Principal Data Engineer designs and optimizes secure, scalable data pipelines (ETL/ELT) and warehouses for real-time/batch processing, ensuring data quality and compliance in a biotech environment.
Design and maintain secure, scalable data pipelines on AWS and Databricks using Python and SQL to support analytics and business functions.
Senior Data Engineer builds and optimizes Databricks-based ETL pipelines and data products for a large-scale transformation program, collaborating with analysts and architects.
Build and maintain Databricks-based ETL pipelines and data products for analytics, collaborating with analysts and architects to support AI-assisted development.
Lead a team to design and build AWS-based data warehousing and analytics pipelines for HR tech, integrating and analyzing workforce data.
Builds a cloud-based data platform to ingest telematics and operational data, enabling ML models and analytics for climate-tech solutions.
Build and maintain Databricks-based data pipelines on AWS for Citco’s financial data platform, using Python, Spark, and Delta Lake to power analytics and future AI initiatives.
Designs and optimizes data pipelines for a talent-management platform using Python, SQL, and AWS to power analytics and decision-making.
Build and maintain scalable data pipelines and infrastructure for a talent-cloud platform, enabling analytics and AI-driven features using Python, SQL, cloud services, and streaming tech.
Leads cloud-native big data pipelines and GenAI model infrastructure at a global insurer, collaborating with AI/ML and analytics teams to build scalable solutions for risk management and business insights using Spark, Kubernetes, and AWS SageMaker.
Senior Data Engineer to lead industrial data integration and historian systems (AVEVA PI, AspenTech), mentoring teams and driving cutting-edge projects in a digital solutions provider.
Build and optimize data pipelines for quant research and trading teams using Python, NumPy, Pandas, and HDF5 to process large datasets and support trading strategy development.
Lead a small offshore team to design and optimize data pipelines using Databricks and Spark, with a focus on performance tuning and Azure cloud integration.
Senior Data Engineer builds and operates Qumulo’s data warehouse, pipelines, and AI-ready analytics using Redshift/Snowflake, DBT, and Tableau to power Sales, Finance, and executive insights.
Designs and maintains scalable data pipelines using Databricks, PySpark, and Python to onboard datasets and ensure data quality for analytics at a global bank.
Principal Data Engineer builds and optimizes secure data pipelines for GenAI and biotech platforms, using Python/Java/Scala and SQL/NoSQL.
Build and maintain scalable ELT pipelines and SQL-based data models in Snowflake using dbt to power Zendesk’s analytics and AI-enabled CX products.
Build and optimize a Snowflake-based cloud data platform for analytics and regulatory reporting, designing pipelines and scalable data models.
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