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Build and maintain scalable data pipelines for Helfie.ai’s AI-powered preventative healthcare platform, transforming raw health data into real-time insights and analytics.
Designs and builds AI-driven analytics pipelines using Power BI, Fabric, and Data Lake to help organizations extract insights from their data.
Builds a scalable data platform for real-time energy-grid sensor streams, integrating registers and events to power apps and analytics using Kafka, Spark, and Databricks.
Design and build scalable data pipelines and cloud data warehouses for global clients using Azure, SQL, and Spark, ensuring data quality and governance during a critical migration.
Build and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data warehouses using SQL, Python, and AWS/GCP tools to support analytics and backend services.
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Designs and builds real-time big-data pipelines using Flink and streaming frameworks to power TikTok’s recommendation engine.
Designs and builds scalable data infrastructure and AI-driven analytics products to power data-driven decisions across media business lines.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Builds real-time streaming infrastructure for large-scale recommendation systems using Flink and data lake tech, handling PB-scale data in a fast-paced environment.
Build and optimize data pipelines and applications using Hadoop, Spark, Python, and Airflow to power Singtel’s 5G, cloud, and analytics platforms.
Design and optimize AI data pipelines, feature stores, and real-time inference systems using Python, Spark, and cloud infrastructure to power machine learning models.
Builds and maintains data pipelines and infrastructure for a Singapore government learning institution, integrating APIs and optimizing cloud-based storage for analytics and reporting.
Design and maintain cloud-based data pipelines and analytics platforms on Microsoft Azure, integrating AI/ML workflows and ensuring data quality and governance.
Design and build scalable on-premise data pipelines and lakehouse solutions using Python, PySpark, and SQL Server to power data-driven decisions across a global banking group.
Senior Data Engineer builds and maintains on-premise data pipelines and lakehouse solutions using Python, PySpark, SQL Server, and Kubernetes to enable data-driven decisions across a global banking group.
Design and build scalable data infrastructure for a media company, including data lakes, customer platforms, and AI-powered analytics to drive audience and business decisions.
Lead a cloud-based data engineering team to build and maintain robust data pipelines, migrate legacy systems to Snowflake and AWS Glue, and ensure high-quality data flows for analytics and reporting.
Lead the design and delivery of scalable data pipelines and real-time analytics for a major bank, using Java, Python, SQL, Hadoop, Spark, Kafka, and containerized deployments.
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
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