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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 scalable data pipelines on Databricks using Python, Spark, and Delta Lake to enable analytics and AI workloads for enterprise systems.
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.
Design and build scalable, high-performance data pipelines on Databricks (Delta Lake, Medallion architecture) using PySpark/Scala, optimizing batch and streaming workloads for large-scale data processing in Azure.
Senior Data Engineer builds scalable ETL/ELT pipelines on Databricks (PySpark, Delta Lake) in Azure, designs Medallion architectures, and partners with Data Scientists and BI teams to deliver clean, governed data for analytics and ML.
Designs and builds data pipelines, ETL/ELT workflows, and scalable Lakehouse architectures on Databricks using Python, Spark, and Delta Lake.
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to ingest, transform, and serve data for analytics and AI workloads.
Designs scalable cloud data pipelines on Databricks (Azure/AWS/GCP), builds Medallion architectures, and manages Delta Lake for analytics teams.
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.
Designs, builds, and optimizes Databricks-based data pipelines for AI and Generative AI workloads, ensuring data quality and governance while collaborating with Data Science, BI, and IT teams.
Build and maintain scalable ETL/ELT pipelines and data models in AWS using PySpark, Glue, and Delta Lake to power analytics and reporting for an Italian online grocery platform.
Senior Data Analyst builds and operationalizes ML models on Azure Databricks to deliver predictive analytics and drive data-driven decisions across KPMG Indonesia.
Senior Data Analyst at KPMG Indonesia to lead data strategy, build ML-ready pipelines, and deliver insights using Python, Spark, and Azure Databricks.
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
Build and maintain scalable data pipelines and lakehouse architectures on Azure/Databricks, enabling analytics and reporting for HR and people operations.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Build and maintain Azure-based data and ML pipelines for Burger King, Popeyes, and Tim Hortons, focusing on Databricks, Azure ML, AKS, and MLOps workflows.
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