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Build and maintain a scalable data platform for a quantitative investment firm, using Python, Airflow, and AWS to process market data and support research workflows.
Design and maintain Denodo-based data virtualization solutions, integrating enterprise systems with analytics platforms to deliver reusable data services for business use.
Build and maintain a self-serve data platform for a large classifieds marketplace, owning batch and streaming pipelines, lake management, and APIs that power analytics and ML workloads using Databricks, AWS, Spark, Python, Kafka, and Airflow.
Build and maintain APIs and databases to process large geospatial datasets, enabling fast, reliable delivery of Earth observation insights for climate and sustainability challenges.
Build and maintain scalable RESTful APIs and data pipelines in Python, using Django/FastAPI, Azure/AWS, and SQL/NoSQL databases like CosmosDB.
Build and maintain scalable RESTful APIs and data pipelines in Python using Django/FastAPI, Azure/AWS, and pytest, handling both relational and NoSQL databases.
Build and run a distributed data platform handling ingestion, processing, and governance for ML/AI workloads using JVM, Kafka, and Kubernetes.
Design and build distributed data pipelines and modern data platforms (Microsoft Fabric/Databricks) to integrate and model data for analytics and reporting.
Designs and maintains data pipelines and platforms for a tissue/paper industry partner, integrating factory systems and enabling analytics and AI use cases.
Build and maintain data pipelines, ETL workflows, and a modern Data Lake using Spark, Airflow, Delta Lake, and Parquet to power analytics and business intelligence for an energy/utilities company.
Build and maintain data pipelines and models to integrate business and manufacturing data, ensuring reliability and security for reporting and AI use cases.
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.
Designs and builds Azure cloud architectures, ETL pipelines, and web apps using FastAPI, React, and Databricks for a consulting client.
Builds and maintains data pipelines, Data Lake, and analytics infrastructure using Spark, Airflow, Delta Lake, and Parquet to support reporting and business decisions in an energy/utilities company.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform operational data into a governed Lakehouse architecture for analytics and business services.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.
Senior Data Engineer builds scalable data platforms on Databricks and cloud engines to power analytics and decision-making for clients and partners.
Build and maintain the data platform that powers e-commerce insights: Snowflake, AWS lakehouse with Iceberg tables, Airflow pipelines, and Terraform IaC.
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.
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