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Design and build secure, scalable data pipelines and infrastructure for ADAPT, a real-time energy-sector platform, using Azure services to enable live analytics and automation across maintenance and supply-chain operations.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery logistics platform.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery optimization platform.
Design and maintain scalable ETL/ELT pipelines and data platforms using cloud tools, SQL, Python/Scala/Java, and big data tech like Spark and Kafka.
Senior AI Engineer designs and deploys production-ready ML/LLM models, builds data pipelines, and mentors junior engineers for Devsinc’s client projects.
Build and maintain healthcare data pipelines in AWS, create datasets for analytics, and support ML pipelines to improve patient care and streamline operations.
Build and migrate data pipelines for a large-scale lakehouse platform, moving legacy Hadoop workloads to Spark 3/Iceberg and optimizing complex SQL queries.
Build and maintain scalable data pipelines and warehouses using SQL, Python, and cloud tools (AWS/GCP/Azure) to feed analytics and ML workloads.
Designs and maintains scalable data pipelines and warehouses, integrating sources with ETL/ELT workflows to power analytics and AI while ensuring data quality, security, and governance.
Build and ship full-stack features end-to-end for global clients using Ruby on Rails, React, Next.js, and TypeScript, while leveraging AI coding tools like Claude and Codex to prototype and review code.
Designs, builds, and maintains data pipelines for a finance-focused AI platform, ensuring reliable ingestion, transformation, and governance of large-scale datasets using Spark, Scala, and HDFS.
Designs and runs data pipelines, ensuring clean, governed data flows into AI systems using Spark, Scala, and HDFS.
Build and maintain cloud data pipelines in Snowflake, transforming raw data into analytics-ready datasets for analysts and scientists across Medtronic’s healthcare products.
Design and build high-throughput data pipelines to curate datasets for AI models using Python, Scala, Spark, and Kafka.
Build scalable data pipelines and infrastructure using Python, Scala, and cloud services (AWS) to support analytics and decision-making.
Designs and builds large-scale data pipelines using PySpark and Scala, focusing on real-time ingestion and data quality for global clients.
Lead end-to-end AI initiatives by designing, building, and deploying scalable full-stack applications using Python, Java/Scala, TensorFlow, and PyTorch on AWS.
Design and build scalable data pipelines and lakehouse architectures using Microsoft Fabric, Azure Databricks, and Spark to enable robust analytics and reporting for a global packaging leader.
Senior Data Engineer to design, build, and optimize data pipelines and warehouses, migrating 1,000 pipelines to Snowflake using Talend, Active Batch, Docker, and GitHub.
Build and maintain ETL/ELT pipelines using Python, SQL, and AWS services (S3, Glue, Athena, Redshift) to process and integrate financial data for a cloud-ecosystem project.
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