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Build and maintain cloud-based data pipelines and warehouses for a global logistics client using Snowflake, Dagster, and dbt, migrating legacy Oracle systems.
Designs, builds, and maintains cloud-based data pipelines and warehouses to feed analytics and ML, using SQL, Python/Java/Scala, and tools like Airflow and Spark.
Builds internal platform services in Go/Python/Java that automate cloud infrastructure, container orchestration, and developer self-service workflows for engineering teams.
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Build and maintain scalable data pipelines and platforms for Proton’s privacy-focused products using Scala/Java/Python and Spark, ensuring reliable analytics and insights.
Build and optimize large-scale data pipelines using Scala/Spark and AWS to power analytics, ML, and reporting for a digital bank, ensuring reliable data flows for business decisions.
Design and build scalable data pipelines using Spark and cloud platforms to power analytics and ML for a leading digital bank.
Build and optimize large-scale data pipelines using PySpark/Scala and AWS services to power analytics, ML, and reporting for a leading digital bank.
Lead the architecture and delivery of large-scale healthcare data pipelines and platforms for Roche’s digital cervical screening solution, using Python, SQL, Spark, and cloud data tools.
Build and own the data platform that powers AI model compression and quantum-inspired optimization products, designing ETL pipelines, lakehouse architectures, and governance workflows in Python/SQL on cloud platforms.
Build and own scalable data platforms and ETL pipelines for AI/ML and quantum-inspired optimization products, ensuring clean, versioned, and accessible datasets for analytics and AI workflows.
Designs and maintains cloud data pipelines and analytics platforms for food/beverage plants using Azure, Databricks, and time-series databases to enable AI-driven insights and operational reporting.
Build and maintain ETL pipelines, optimize MongoDB schemas, and create Metabase dashboards to power AI-driven travel rental analytics and reporting.
Build and optimize large-scale data pipelines and lakes on AWS Databricks, orchestrating ETL workflows and ensuring data quality for a global risk-intelligence platform.
Build and optimize scalable data pipelines and analytics infrastructure using Python, Spark, Airflow, and ClickHouse to power Atolls' global shopping platform.
Builds internal tools and data dashboards using React/Next.js/TypeScript on the frontend and Python (FastAPI/Django) on the backend for a quantum AI company.
Senior backend engineer building and scaling the Translation Management System platform using .NET, Azure, and microservices, with a focus on reliability, APIs, and AI integrations.
Build and maintain scalable cloud infrastructure on GCP and AWS, automate CI/CD pipelines with Terraform, and ensure reliability and security for a logistics SaaS platform.
Senior backend engineer building and optimizing large-scale data pipelines with Apache Spark and Scala/Python to power financial IT systems and cross-country operations.
Build and deploy AI agents and automation pipelines in Python to streamline supply-chain compliance workflows for life-sciences companies, using dbt, Docker, and cloud platforms.
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