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Build and maintain big-data pipelines for a banking client using Python, Scala, Spark, Airflow, and Kubernetes.
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting batch/streaming data with PySpark/Databricks and orchestrating workflows via Data Factory and ADX.
Design and build scalable data pipelines using Spark/Scala, Python, SQL, and AWS services like S3 and Glue to ensure high-quality, secure data flows for global clients.
Design and build scalable data pipelines and warehouses for a global client using Spark/Scala, Python, SQL, and AWS services like S3, Glue, and EMR.
Build a trading oversight platform using Scala and React, integrating AI tools to help hedge funds execute investments and improve business outcomes.
Design and optimize scalable data pipelines using Apache Spark and AWS for batch and near-real-time processing, creating reliable datasets for analytics and ML.
Build and optimize multi-cloud data pipelines using SQL, Python, and ETL/ELT tools while collaborating with clients and internal teams.
Builds a high-performance trading platform using Scala/React, cloud infrastructure, and AI tools for a hedge fund.
Builds a trading platform using Scala for backend services and React for interfaces, with cloud, Kubernetes, Terraform, and AI-enabled practices.
Lead an agile team of data scientists to build and deploy AI/ML models using Python/Scala/Java and frameworks like TensorFlow/PyTorch for real-world applications.
Principal Software Engineer at Global-e builds and scales core logistics services for global e-commerce using Scala, Kubernetes, and AWS, handling millions of transactions.
Design and deploy AI/ML models (LLMs, vision, agents) for clients using Python, TensorFlow/PyTorch, and cloud platforms; lead projects and collaborate directly with stakeholders.
Build and optimize on-demand delivery logistics systems using Scala, Play Framework, and Google Cloud to manage parcel and food deliveries across South Africa.
Build and maintain scalable data pipelines and warehouses for analytics and ML, integrating multiple sources using Python, SQL, and cloud tools.
Senior data engineer builds and owns a real-time analytics pipeline that ingests event-sourced data and JSON logs, models clean views, and powers dashboards and ML models on AWS with Spark and Databricks.
Designs and builds scalable Azure-based data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to power analytics and reporting for enterprise clients.
Designs and operates data ingestion and transformation pipelines for an AI-focused platform, ensuring data quality, governance, and security using Spark, Scala, and HDFS.
Design, build, and run data ingestion and transformation pipelines for a financial analytics platform using Spark, Scala, and HDFS while enforcing quality, traceability, and governance.
Build and maintain scalable JVM-based backend services for a fast-growing fintech platform, enabling seamless payments, shopping, and banking features in Colombia.
Designs and implements cloud-native data pipelines on Databricks and Azure, building scalable data lakes for analytics and ML workloads.
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