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Design and implement cloud-native data platforms (lakehouses, streaming pipelines) using Azure/AWS/GCP to support AI/ML and analytics at scale.
Build and optimize Python-based data pipelines and ETL processes for a large banking client, using SQL, Pandas, PySpark, and cloud tools to ingest, transform, and deliver high-quality data.
Analyzes sales data, builds dashboards in Qlikview/Metabase/Streamlit, and delivers insights to guide sales and principal partnerships using SQL and BI tools.
Lead the design of secure data architectures for Army intelligence systems, integrating pipelines, optimizing SQL/ETL workflows, and enforcing governance in AWS environments.
Designs and optimizes scalable database architectures (PostgreSQL, NoSQL, graph/time-series) to support data science and ML workflows, ensuring high performance, security, and integration with research pipelines.
Lead the design and build of a cloud-native AWS data platform for RBC’s Anti-Money Laundering team, using S3, Snowflake, Spark, and dbt to power governed analytics and controls.
Builds and maintains Python-based financial applications for capital markets, including REST APIs, reporting tools, and CI/CD pipelines.
Leads the design, development, and operations of a self-service data pipeline platform (Airflow, Spark, Flink, Kubernetes) for U.S. Bank’s digital transformation, owning end-to-end architecture, team mentorship, and reliability engineering.
Senior Data Engineer builds and maintains scalable data pipelines and cloud platforms to turn raw operational data into trusted, analytics-ready assets for faster decision-making.
Build and maintain high-volume data pipelines using Redshift, Spark, and Airflow to power Ookla’s internet performance analytics for analysts and data scientists.
Senior Data Engineer builds and scales cloud data platforms using Snowflake and Redshift, designing pipelines, optimizing warehouses, and enabling self-service analytics for a fintech company.
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Senior Software Engineer building and operating workflow orchestration platforms (Argo Workflows, Airflow) to power autonomous truck development, ML training, and CI/CD pipelines on Kubernetes and AWS.
Design and implement scalable data orchestration platforms using Apache Airflow and Astronomer’s Astro platform, guiding customers through deployments and migrations while ensuring security and performance.
Leads platform engineering for Klaviyo, designing scalable infrastructure and tools to support email/SMS marketing infrastructure, focusing on cloud-native systems, DevOps, and automation.
Data analyst optimizing Ozon’s last-mile delivery by building data pipelines, BI reports, and algorithms to improve courier efficiency and delivery speed.
Builds and maintains data pipelines and dashboards to guide expansion of Ozon’s network of pickup points, using Python, SQL, and Airflow.
Build and maintain open-source data, workflow, and AI/ML solutions using Python, Kubernetes, and tools like Kubeflow and Airflow for global cloud and on-prem deployments.
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