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Design and build scalable ETL pipelines and data models using Spark, Scala, and cloud storage (AWS S3, Hive) to power analytics and BI tools like Databricks and Power BI.
Build and optimize Apache Spark data pipelines and SQL queries for financial and logistics clients in a hybrid Warsaw role.
Build and optimize GCP-based data pipelines and ML models, then visualize insights in Looker Studio to drive TELUS’s operational and customer-experience improvements.
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Build and maintain data pipelines, ETL processes, and data models for a global trading platform using Python, PostgreSQL, Airflow, and AWS.
Build Power BI dashboards and KPIs using governed datasets to turn business data into actionable insights across Finance, Inventory, and Operations, while identifying practical AI opportunities.
Build and own a TypeScript/Angular frontend with Storybook and Cypress tests, paired with Java backend changes, for a data-quality platform used by Disney, Nubank, and others.
Build full-stack applications using Python and React, collaborate with teams to deliver data visualization systems, and solve technical challenges in a product-focused environment.
Analyze HR and employee data to uncover trends and propose AI-driven improvements that inform strategic decisions in a construction firm.
Build SEO and paid-search models to optimize CTR, CPC, and ROAS, using Python/R, SQL, and Google Ads/Analytics APIs.
Build and maintain data pipelines and platforms at Pinterest, partnering with analysts and engineers to turn business needs into reliable, high-quality data products and insights using cloud tech and AI tools.
Build a cloud-native platform for pharmaceutical research, combining full-stack web apps, AI-powered features, and scalable microservices using React, Next.js, NestJS, Go/Python, and Kubernetes.
Build and validate data pipelines that transform terabyte-scale acoustic imaging data into accurate, client-facing reports and 3D visualizations using Python, SQL, and AWS.
Designs and maintains data pipelines, manages a data lake, and enriches datasets for internal and external use using SQL, cloud platforms, and ETL tools.
Build and maintain data pipelines, write SQL queries, and monitor data quality to support analytics and AI solutions for clients in a collaborative, office-based role.
Build and maintain high-performance data pipelines in Snowflake and AWS, using dbt Core/Cloud and Python to power analytics and AI initiatives for an insurance company.
Lead the design and maintenance of Databricks-based ETL pipelines and data models for a fintech platform, transforming raw financial data into insights for investors and AI workloads.
Build and deploy ML and agentic AI models on Databricks and cloud to personalize banking experiences, improve decisions, and drive operational efficiency in a regulated environment.
Builds and maintains scalable ETL pipelines and data warehouses to power analytics for EA’s user-generated content platform, using Python, SQL, Airflow, and cloud platforms.
Build and maintain Azure-based data pipelines, warehouses, and analytics solutions using Data Factory, Power BI, and GenAI to deliver real-time insights for enterprise clients.
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