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Build and maintain ETL/ELT pipelines to integrate sports and entertainment data into a cloud data warehouse, cleanse data, and support BI reporting.
Build and maintain ETL/ELT pipelines to integrate sports and entertainment data into a cloud data warehouse, cleanse and standardize data, and support BI reporting.
Designs, builds, and optimizes scalable data pipelines and ETL/ELT processes on Google Cloud Platform to support analytics and business decisions.
Builds and maintains scalable data pipelines and warehouses in GCP, using BigQuery, Cloud Storage, and Airflow to enable analytics-driven decisions.
Design and maintain ELT pipelines, manage Snowflake databases, and collaborate with DevOps on AWS infrastructure for a remote team.
Senior Data Engineer builds and optimizes PySpark/EMR pipelines, a Hudi-based lakehouse, and data APIs on AWS to power real-estate analytics and ML models for lead generation and property valuation.
Build and maintain cloud data pipelines, ETL/ELT workflows, and SQL/NoSQL databases in Python/JavaScript to feed analytics and BI tools for a global ad-tech agency.
Design and build scalable data pipelines and warehouses in Google Cloud to power analytics and business decisions, using SQL, Python, and ETL tools.
Design and maintain scalable data pipelines and warehouses in GCP, building ETL/ELT processes and SQL models to power analytics and decision-making for a global social-first marketing agency.
Senior Data Engineer at DiDi troubleshoots large-scale data pipelines, optimizes BI/ETL systems, and resolves complex data issues across global teams using SQL, Python, and cloud data warehouses.
Build and maintain data pipelines and analytics for ad-tech revenue ops using Snowflake, Python, and ETL/ELT tools to support lead routing, segmentation, and sales tooling.
Design and build Prospera AI’s data infrastructure from scratch, including Snowflake warehouse, ETL pipelines with dbt/Airflow, and ML feature stores to power analytics and AI model training.
Build and maintain scalable data pipelines and cloud-based analytics solutions using Python, SQL, and tools like Databricks and Spark to turn marketing and media data into actionable insights.
Build and maintain Snowflake-based data pipelines and EDW platforms using Azure Data Factory, monitoring jobs, resolving incidents, and optimizing performance in a 24/7 support model.
Build and maintain large-scale data pipelines using PySpark on Databricks, implementing ETL/ELT processes and lakehouse architectures for analytics.
Designs and builds enterprise data warehouses and AI pipelines using SQL and Databricks for large-scale analytics and ETL/ELT workflows.
Designs and builds scalable data pipelines and warehouses using Databricks and Azure, ensuring clean, reliable data for analytics and AI across food, beverage and pharma sectors.
Build and maintain scalable data pipelines in Microsoft Fabric/Azure to power analytics and AI for a top North American furniture retailer.
Build and maintain data pipelines, ETL/ELT logic, and curated datasets to power analytics and dashboards for a smoke-free future initiative.
Lead a team designing and building end-to-end data pipelines, warehouses, and analytics for clients using cloud platforms, SQL, Python, and DevOps practices.
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