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Build and maintain modern data pipelines and warehouses for ad-tech clients using SQL, Python, BigQuery/Snowflake, and Airflow.
Builds and maintains data pipelines for marketing analytics, focusing on Marketing Mix Modeling using cloud tools and Airflow to feed predictive models.
Build and maintain scalable data pipelines on Databricks, integrating diverse sources and industrializing ML models for enterprise clients.
Build and maintain data pipelines for a Retail Media SaaS platform, integrating sales, product, store, and IoT feeds across multi-cloud (GCP/Azure) to power campaign measurement and deployment.
Build and maintain Piano’s real-time Big Data pipeline (ETL) in Java/Go, processing hundreds of thousands of events per second with Kafka, Redis, and cloud infrastructure.
Build and maintain data pipelines, clean and model customer data, and deploy scalable BigData solutions on AWS/Azure for marketing analytics.
Build and maintain the data pipelines that power streaming-TV ad campaign reporting, ensuring accuracy and enabling new product features in a fast-growing AdTech startup.
Build and maintain the data pipelines that power Vibe.co’s streaming-TV ad reporting, ensuring accurate, real-time campaign metrics for advertisers.
Build and scale backend systems managing global advertiser budgets using C# and Python with big data stacks like Hadoop, Flink, and Spark.
Build and maintain data platforms and cloud pipelines to power marketing and customer-experience analytics in an ad-tech product company.
Build and scale Vibe’s petabyte-scale data backbone, owning storage, batch/stream compute, and real-time OLAP reporting to power streaming-TV ad campaigns.
Build and scale Vibe’s petabyte-scale data backbone, owning storage, batch/stream compute, and real-time OLAP reporting to power streaming TV ad campaigns.
Build and maintain petabyte-scale data infrastructure using Spark, ClickHouse, and lakehouse tools, and own incident response and cost optimization for real-time reporting.
Build and maintain data pipelines on GCP to feed predictive models and a customer data platform for a marketing-focused client, using Airflow and Snowflake.
Build and maintain cloud data pipelines, ETL/ELT workflows, and analytics models in GCP/BigQuery to power programmatic advertising and DOOH campaigns.
Build and maintain scalable data pipelines in BigQuery and dbt, transforming raw retail-media data into clean, reusable layers for analytics and AI teams across Europe.
Build and maintain Wizaly’s data pipelines and attribution algorithms using Scala/Spark and SQL, ensuring accurate, real-time marketing performance insights for clients.
Lead a team building and scaling data pipelines that feed AI-driven marketing attribution models, ensuring clean data flow from acquisition to insights.
Build and maintain the cloud infrastructure and CI/CD pipelines for Lexxy, a SaaS marketing-automation platform, using GitLab CI, Prometheus and Grafana.
Senior SRE builds and operates cloud-native Java/Angular services on Azure, automating deployments with Terraform/Ansible and ensuring high availability for Solocal’s digital marketing platforms.
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