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Builds and maintains the data warehouse and semantic layer for a fintech domain, modeling data for AI agents and business stakeholders using Domain-Driven Design.
Designs and builds data pipelines and warehouses for clients using Hadoop, Snowflake, Kafka, Spark, and Python/Java.
Build and maintain data platforms on Databricks and cloud engines to enable clients to make efficient decisions using Python, PySpark, and SQL.
Build data pipelines and models for mobile-game analytics, integrating AI features and monetization metrics while collaborating with BI and product teams.
Designs and optimizes BigQuery data warehouses, builds scalable BI models, and automates pipelines with Python for a digital marketing company.
Designs and optimizes AWS-based data pipelines, ETL workflows, and scalable data warehouses for analytics and reporting.
Builds and maintains ETL pipelines and data warehouses on GCP to feed AI-driven marketing systems, using Python, SQL, dbt, and Airbyte.
Design and build scalable cloud data pipelines using Azure Data Factory and Databricks, then model and optimize datasets for Power BI analytics and reporting.
Builds and maintains data pipelines in PL/SQL and Python to feed analytics and reporting, ensuring data quality and performance for a luxury retail company.
Senior Data Engineer builds and scales data pipelines and warehouses to power analytics products for restaurants using Python, SQL, dbt, Airflow, and cloud platforms.
Senior Data Engineer builds and optimizes cloud-based data pipelines and models for CRM and retargeting, using Spark, Python, and GCP/AWS/Azure to ensure clean, high-quality data for analytics.
Build and optimize AWS-based data pipelines and warehouses using ETL, modeling, and cloud architecture to support analytics and decision-making.
Build and maintain scalable data pipelines using Databricks, Azure Data Factory, and PySpark to process and transform enterprise data for analytics and reporting.
Build and maintain clean, scalable data pipelines and warehouses, integrating AI solutions for a retail planning platform using Python, SQL, and cloud services.
Build and maintain AI-driven data pipelines and secure data warehouse/lake systems for a SaaS platform, supporting analytics and data science workflows.
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines.
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines to scale genAI across global operations.
Designs scalable, secure data architectures for financial clients, including data warehouses, lakes, and ETL pipelines on AWS/Azure/Snowflake.
Build AI/ML models and graph analytics for telecom network autonomy, using Python, BigQuery, and KPI engineering to predict faults, optimize performance, and support AIOps and digital twin systems.
Build and operate a global renewable-energy data platform, engineering pipelines and AI-ready datasets on Azure/Microsoft Fabric to power analytics and ML at scale.
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