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Lead the data and ML engineering effort at a fintech SaaS that automates accounts-receivable workflows; scale predictive scoring, generative agents, and automated dunning from prototype to production on AWS.
Lead a small team to design data architectures, build ML pipelines, and productionize predictive or generative models on AWS and PostgreSQL for a fintech payroll product.
Data Engineer builds and maintains a large-scale data lake for an aerospace transport company using Java, Spark, and GCP tools like Dataproc and BigQuery.
Build and scale cloud-based data ingestion pipelines for an AI-driven medical technology company, enabling seamless data access across microservices.
Lead a data engineering team building and maintaining a GCP-based data lake for an aviation company using Java and Spark.
Build and maintain data pipelines and ML models for digital agriculture products, using R/Python and DevOps/MLOps practices to support operational services.
Build and maintain data pipelines, automate web performance tracking, and create QLIK dashboards for an ecommerce site while running A/B tests and predictive models in Python.
Cloud Data Engineer helping large clients migrate to Google Cloud Platform, building secure data pipelines, and implementing DevOps/CI/CD workflows using GCP, Python, and Kubernetes.
Builds and maintains data pipelines and digital analytics products for digital agriculture, using R/Python and MLOps practices to support agronomy-focused algorithms and KPIs.
Builds AI/ML platforms, prototypes, and data pipelines for a product-focused team in an international setting.
Design and build scalable cloud data pipelines for large-scale environments, integrating diverse data sources and optimizing distributed processing for performance and reliability.
Build and optimize scalable data pipelines for ingestion, transformation, and enrichment using cloud-native tools like AWS, Spark, and serverless services.
Design and maintain scalable data pipelines and warehouses, using Python/Java, Spark, Hadoop, and NoSQL to feed analytics and data science workloads.
Senior Data Engineer builds and optimizes GCP/BigQuery pipelines and queries for an aerospace data-modernization program.
Build and optimize cloud-based data pipelines for ingestion, transformation, and enrichment, using serverless and GenAI to enable AI/ML teams at a product company.
Build and maintain batch and real-time data pipelines, design schemas, and ensure trusted datasets for analytics and product teams using SQL, Python, Airflow, dbt, Kafka, and Snowflake/BigQuery.
Build and maintain batch and streaming pipelines for a fast-growing e-commerce platform, ensuring clean, reliable data in Snowflake/BigQuery using Airflow, Kafka, and dbt.
Build and maintain scalable data ingestion pipelines and ETL/ELT processes for a cardiac remote monitoring platform using Python, Spark, and AWS.
Designs and builds scalable cloud data pipelines for high-volume sources, automates deployments with DevOps practices, and ensures data quality for analytics teams.
Builds and runs Java-based microservices for supply-chain, retail-media, and data projects using Docker, CI/CD, and DevOps practices.
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