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Design and deploy AI-driven advertising solutions on Google Cloud, leading engineers and data scientists to build scalable, secure AI architectures for measurable business outcomes.
Build and run AI-driven marketing automations and agent pipelines (n8n/Make) to execute growth campaigns, lifecycle flows, and CRO experiments, while owning clean attribution and backend integrations.
Builds marketing tech and customer-facing apps for a fintech firm, using React, Node.js, PostgreSQL, and integrations like payment gateways and CRM systems.
Builds AI-powered automation workflows for digital marketing and CRM using LLM APIs, Next.js, Supabase, and Cloudflare to reduce manual work and improve lead handling.
Owns and scales data ingestion pipelines for a marketing platform, integrating multiple marketing systems using SQL and Python.
Build and scale high-performance backend systems and APIs for a global adtech platform serving billions of requests daily, using languages like C#, Python, or Java.
Build and scale backend systems managing global advertiser budgets using Flink, Kafka, Spark, Python, and .NET to ensure seamless campaign performance for thousands of customers.
Lead the design and scaling of a marketing analytics platform’s data pipeline using AWS S3, Athena, EKS, and Airflow for OLAP workloads and ETL processes.
Lead a team to architect and maintain a high-volume marketing analytics platform, designing S3-backed data lakes, ETL pipelines, and OLAP workloads using AWS tools like Athena and Airflow.
Lead a team to design and maintain scalable data pipelines and analytics architecture using AWS and Airflow for a marketing analytics platform.
Lead a team to design and maintain scalable data pipelines and analytics architecture for a high-volume marketing analytics platform using AWS, Airflow, and OLAP systems.
Lead the design and implementation of ETL pipelines and a scalable S3-backed data lake for a marketing analytics platform using Airflow, AWS Athena, and EKS.
Senior Full-Stack Engineer building backend services and frontend interfaces for a marketing analytics platform using Python (FastAPI/Flask) and React/TypeScript, with PostgreSQL and AI-assisted tools.
Lead a team to design and maintain OLAP pipelines on AWS, using Airflow for ETL orchestration and S3-backed data lakes for large-scale marketing analytics.
Build and maintain backend services and frontend interfaces for a marketing analytics platform using Python (FastAPI/Flask) and React/TypeScript, with AI-assisted tools.
Builds and maintains backend services and frontend interfaces for a data-heavy marketing analytics platform using Python (FastAPI/Flask), React/TypeScript, and PostgreSQL.
Build and maintain backend services and frontend interfaces for a marketing analytics platform using Python (FastAPI/Flask), React, TypeScript, and PostgreSQL.
Lead a team to design and maintain S3-backed data pipelines and OLAP architecture for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Design and maintain a high-volume marketing analytics data lake and ETL pipelines using AWS, S3, and Airflow to process and orchestrate near-real-time data flows.
Designs and builds ETL pipelines on AWS to integrate and transform franchise advertising data, ensuring quality and real-time/batch processing for analytics.
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