Teams at dentsu

Leads the design, development, optimization, and support of scalable data engineering and database marketing solutions. Builds and manages ETL/ELT pipelines using Azure Data Factory, Databricks, and related technologies; creates technical designs and documentation; resolves production issues; conducts code reviews; and collaborates with clients and cross-functional teams. The role also coordinates small project teams, supports architectural decisions, ensures workflow orchestration, and mentors team members.

Build and maintain scalable AWS data platforms and ETL/ELT pipelines using SQL, Python, Spark, and AWS services. Develop data lakes, warehouses, ingestion workflows, transformations, and analytics-ready data models. Monitor pipeline performance, reliability, security, and data quality; troubleshoot issues and conduct root-cause analysis. Collaborate with architects, DevOps, QA, product teams, and business stakeholders while contributing to documentation, code reviews, and engineering best practices.

Leads the design, development, optimization, and support of scalable data engineering and database marketing solutions. Builds ETL/ELT pipelines using Azure Data Factory and Databricks, creates technical designs, resolves production issues, conducts code reviews, and manages delivery across small teams. Collaborates with clients and internal stakeholders, documents architecture, applies performance optimization, and oversees workflow orchestration, data warehousing, streaming, and integration solutions.