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Designs and maintains scalable data pipelines using Databricks, Spark, and Azure to deliver business insights.
Designs and builds scalable data pipelines and lakehouse architecture for enterprise analytics, while mentoring engineers and enforcing data governance and security.
Senior AI & Data Engineer builds AI-powered solutions using Python, LLMs, and RAG pipelines, integrating them into production systems with Azure services.
Builds and optimizes cloud-based data pipelines using Microsoft Fabric, Azure Synapse, PySpark, and SQL to process diverse datasets for analytics and reporting.
Build and maintain real-time and batch data pipelines for a global video streaming platform using Java, Flink, and Spark to analyze and improve streaming quality.
Builds and optimizes Java-based financial applications and data pipelines for capital markets, using Oracle and graph databases.
Build and refine data models using SQL, Python, Spark, and Azure while learning cloud technologies and predictive modeling in a hands-on internship.
Architect and implement ETL pipelines and backend infrastructure for a fintech company, integrating AI tools to optimize data workflows.
Lead a team building and maintaining data pipelines and AI models on GCP to turn raw data into business insights for clients.
Lead data pipeline design and maintenance for clients, using Python, SQL, and GCP to deliver analytics and AI solutions in a collaborative agency setting.
Builds and maintains scalable big-data pipelines on Azure Databricks and Apache Spark using Scala/Java, deploys them via CI/CD and Kubernetes, and ensures platform reliability.
Senior Robotics Data Engineer builds and maintains high-quality data pipelines for AI-powered robotics vision systems using Python and camera fundamentals.
Build and optimize large-scale data pipelines using Spark for AI and big-data platforms in automotive and aerospace sectors.
Build and optimize large-scale data processing systems in Java/Scala/Python to power high-performance advertising platforms.
Designs and maintains scalable data pipelines on Azure and Databricks using PySpark to support business analytics and reporting.
Leads design and delivery of scalable data engineering solutions using Python, Java, and Databricks to support analytics and business decisions in a hybrid work environment.
Designs and builds large-scale data processing systems handling billions of requests daily using Java, Scala, or Python.
Build and maintain data pipelines, AI models, and transformations using Python, GCP, Dataiku, and SQL to turn raw data into business insights for enterprise clients.
Builds and maintains ETL/ELT pipelines for a data lake and warehouse using Oracle, PostgreSQL, BigQuery, and Informatica PowerCenter.
Designs and builds a Lakehouse data platform and BI pipelines using Databricks, Spark, and Power BI to power global analytics at a logistics company.
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