-Acting as lead consultant to support the delivery of data requirements alongside the Data Analyst and Global Data Product Managers.-Develop, construct, test, and maintain data architectures, such as databases and processing systems.-Collaborate with cross-functional teams to understand data requirements and implement solutions to meet business needs.-Design and implement efficient ETL processes for large-scale data sets.-Optimize and troubleshoot data-related issues, ensuring data quality and integrity.-Build and maintain scalable data pipelines for both batch and real-time processing.-Collaborate with data scientists and analysts to deploy models and ensure seamless integration into data platforms.-Implement and manage CI/CD pipelines for automated testing and deployment of data-related solutions.-Stay abreast of industry trends and best practices in data engineering.-Owning the development of technical documentation.

Analyze marketing data to extract valuable insights and inform strategic decision-making.EDA on the extracted data to collaborate with cross-functional teams to define key performance indicators (KPIs) and develop dashboards and reports.Conduct in-depth analysis of customer behavior, campaign performance, and market trends.Design and implement experiments, A/B tests, and other statistical analyses to optimize marketing strategies.Interpret data, create visualizations, and present findings to non-technical stakeholders.Identify opportunities for process improvement and provide recommendations for marketing optimization.Utilize tools and technologies to automate and streamline data collection and reporting processes.Stay informed about industry trends and best practices in marketing analytics.

- Managed End-to-End marketing activities, including B2B Ad Campaigns.- Successfully managed Website SEO, increasing traffic rates by 65%.- Actively participated in object detection projects and provided support for AI & MLinitiatives.