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Build and maintain automated data pipelines that integrate industrial systems (MES, PI Historian, ELN) into a reliable operational data foundation for biopharma manufacturing.
Build and maintain a modern data platform using Microsoft Fabric to integrate, transform, and govern healthcare data for a nationwide pharmacy chain.
Build and maintain a modern data platform using Microsoft Fabric to integrate, process, and govern healthcare data for reliable analytics and reporting across Switzerland.
Build and maintain scalable data pipelines and cloud-native systems that integrate scientific data for AI/ML, analytics, and visualization to accelerate drug discovery and development.
Designs and maintains AWS-based data pipelines and AI systems, collaborating with scientists and analysts to deliver scalable, secure data solutions and AI-driven features.
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Build and optimize data infrastructure for high-load B2B projects in gaming and sports using Python, PySpark, Airflow, ClickHouse, Trino, Kafka, and S3.
Build and maintain a production platform that collects, processes, and enriches social media content using Python, ETL pipelines, and LLM APIs for classification and summarization.
Designs and scales AWS-based data services for mRNA drug/vaccine pipelines, builds ETL/ELT workflows, and implements CI/CD and IaC for a healthcare biotech company.
Act as a technical advisor during pre-sales, designing AI/LLM and modern data platform solutions for enterprises, and guiding clients from discovery to implementation.
Build and maintain cloud-based ELT pipelines in DBT Cloud and Snowflake, ensuring data quality and governance while migrating legacy systems to a unified CDP instance.
Pre-sales role leading technical discovery, demos, and POCs for a data lineage and migration platform serving regulated industries like finance, healthcare, and government.
Design and lead cloud-based data platforms and analytics solutions for enterprise clients, translating business needs into scalable architectures using Snowflake, Databricks, or similar tools.
Build and maintain end-to-end data pipelines and analytical models using Databricks, Microsoft Fabric, Python, SQL and Spark to deliver AI-driven insights for enterprise clients.
Build and deploy AI/ML models for industrial use cases like predictive maintenance and process optimization, using Python, TensorFlow/PyTorch, and MLOps pipelines.
Builds automated financial controls and ETL pipelines in Python/SQL for a large bank, migrating legacy SQL Server logic to a modern stack while ensuring policy compliance and data quality.
Designs and implements Microsoft Fabric and Azure data pipelines, builds ETL/ELT workflows, and deploys AI analytics solutions to help clients make data-driven decisions.
QA engineer validating Databricks-based data pipelines for financial services, ensuring accuracy and compliance through SQL and Spark testing.
Build and modernize backend services and TB-scale data pipelines in Python/Java to process aviation flight data, optimizing fuel use and CO² emissions for airlines.
Designs Microsoft Fabric-based data architectures and builds ETL/ELT pipelines in Azure, then layers in AI features using Copilot and Azure OpenAI to deliver analytics solutions for clients.
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