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Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.
Build and maintain cloud data pipelines on GCP/AWS, integrate ML models and GenAI, and manage data warehouses/lakes for analytics and AI-driven solutions.
Designs cloud data pipelines and ETL/ELT workflows to process customer data for analytics in financial services and energy sectors using SQL, Python, and Spark.
Builds cloud data pipelines and ETL/ELT workflows on GCP/Azure using SQL, Python, and Spark to feed CRM and marketing analytics for Consumer Markets and Financial Services clients.
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.
Designs and builds cloud-based data pipelines, Datalake/Lakehouse systems, and ETL/ELT workflows for clients in finance, insurance, and energy.
Designs and builds scalable data pipelines and cloud-native architectures using Python, Spark, SQL, AWS, and Snowflake to deliver enterprise-grade analytics and AI solutions for clients.
Designs, builds, and maintains data pipelines and ETL/ELT workflows for a banking-focused ICT consultancy, ensuring reliable analytics and reporting.
Designs and builds cloud-native data pipelines, ELT workflows, and data models for a data lake/warehouse to support analytics and business needs.
Designs and builds data pipelines for a banking-focused fintech, implementing ETL/ELT workflows and ensuring data quality and reliability.
Build and maintain AI-powered backend services in .NET/C# for a fintech platform that automates credit and business relationship workflows, integrating Azure OpenAI and vector search.
Build and maintain backend services in .NET/C# for an AI-driven credit-management platform, integrating LLMs and automating workflows.
Design and build scalable Snowflake and AWS-based data pipelines with Airflow orchestration to feed analytics and AI services for enterprise clients.
Drive AI/ML and data-science projects to embed analytics and automation into PMI’s digital transformation, building models and BI dashboards that support a smoke-free future.
Analyze ad-tech campaign data to forecast performance, optimize live campaigns, and quantify ROI using SQL, Python/R, and visualization tools.
Design and build scalable ETL/ELT pipelines with Spark SQL, PySpark, and Databricks Medallion architecture, focusing on data quality, governance, and cost optimization.
Build and maintain cloud-based data pipelines and warehouses for a global logistics client using Snowflake, Dagster, and dbt, migrating legacy Oracle systems.
Designs, builds, and maintains cloud-based data pipelines and warehouses to feed analytics and ML, using SQL, Python/Java/Scala, and tools like Airflow and Spark.
Build and maintain data pipelines that ingest streaming, royalty, and social-media data to power analytics and business decisions in the music industry.
Build and maintain scalable data pipelines, integrate databases, and ensure data quality using ETL tools, SQL, Python, and cloud platforms.
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