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Build and maintain ETL pipelines and cloud data infrastructure for a large Canadian retailer with financial services, ensuring data quality for analytics and reporting.
Lead the design and optimization of large-scale data pipelines and architectures for ZoomInfo’s technographic data services, integrating ML models into data workflows.
Build and maintain ETL pipelines and cloud data infrastructure for large-scale datasets, collaborating with analysts and scientists to ensure data quality and availability.
Build and optimize scalable ETL pipelines using Azure/Hadoop to ensure reliable data flow for analytics at a large retail company.
Senior hybrid role building and maintaining data pipelines with PySpark, Spark, and HDFS, plus SQL and user support for analytics teams.
Build and maintain high-performance Java backend services for trading and fintech platforms using Spring Boot, MySQL, Redis, and distributed systems.
Lead a Java team building e-commerce or consumer platforms; drive architecture, code reviews, and AI-driven features in Spring/Kotlin ecosystems.
Build and maintain ETL/ELT pipelines, SQL queries, and Python programs to transform financial and insurance data at scale for RBC Insurance’s enterprise analytics.
Build and optimize PySpark pipelines for large-scale data processing, using HDFS, YARN, and Spark SQL to deliver clean datasets for analytics and reporting.
Build and scale data pipelines and models for Lyft’s Safety and Customer Care team, enabling real-time insights and AI agent performance tracking using Spark, Python, and SQL on AWS.
Builds scalable Kotlin/Java e-commerce features and integrates LLMs/agentic systems to enhance user experience, using Spring, GCP, and Kubernetes.
Build and optimize PySpark pipelines for large-scale data processing, tuning performance and integrating with Hadoop, HBase, and SQL databases.
Build and optimize ETL pipelines for large-scale datasets using Azure and Hadoop, validate data quality, and collaborate with data scientists to support analytics initiatives.
Builds scalable regulatory reporting software in Java/Spring/Kafka/Singlestore, processing millions of financial transactions daily for global compliance.
Build and deploy Python-based data pipelines and ML models for financial services, using Spark, TensorFlow, and SQL to analyze risk and support decision-making.
Build and maintain high-performance data pipelines in Snowflake and AWS, using dbt Core/Cloud and Python to power analytics and AI initiatives for an insurance company.
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
Build and optimize Amazon’s cloud-based data infrastructure, designing ETL/ELT pipelines and reporting solutions to enable real-time analytics for IT services across the company.
Lead a team to build and maintain scalable data pipelines that integrate subledger financial data into ERP systems using Hadoop, Spark, Snowflake, and Databricks.
Build and maintain a large-scale Regulatory Reporting Platform using Java and Apache Spark, processing high-volume financial data for enterprise clients.
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