Experienced Data Professional specializing in Corporate Finance,business intelligence, data engineering, and analytics. Proficient in managing large-scale data systems, leading Big Data BI projects, and delivering solutions using AWS, SQL and Python. Demonstrated track record of enhancing data quality, mentoring teams, and collaborating with stakeholders to drive business insights.
Technical Leadership: Led process improvements to enhance scalability and efficiency, guiding the team toward best practices in data engineering and automation.
Infrastructure & Automation: Scaled reporting systems with AWS CDK (TypeScript) and automated alerts using AI-driven triggers, reducing manual work.
Data Support: Solved complex data challenges and improved reporting accuracy to support business operations.
Subject Matter Expert (SME): oversee a high-capacity data analyst platform handling 3.6 PB of data, over 700 pipelines, and supporting over 10,000 users; successfully addressed data-related challenges via meticulous technical requirement enhancement and documentation.
BIE solution Architect: Created a robust BI solution using AWS CDK, leveraging SQS, S3, Lambda, Glue, Redshift, and Quicksight to handle over 1M weekly requests.
Mentor: Conducted mentor sessions to share knowledge on SQL, VBA, and Python, while also serving as Subject Matter Expert (SME) for Amazon Retail metrics. Mentored three colleagues in order to assist them in achieving promotion.
BI Infrastructure Ownership: Managed BI services for the 1,000-employee EU AVS organization, including defining budgets, data pipelines, and reporting structures. Administered a 300 TB Redshift cluster and two MySQL RDS instances for reporting on Amazon Retail metrics.
Offshore Team Leadership: Indirectly managed a team of four offshore analysts, overseeing task prioritization, sprint planning, and skill development.
Pipeline & Tools & Report Development: Built data pipelines integrating 36 data sources, created visualizations in Excel, Tableau, and Quicksight. Developed an Excel add-in powered by MySQL and Web APIs for 1,600+ Users. Established EU-wide metrics, forecasting methods, and targets to optimize AVS performance and improve vendor experience