Tanmay Damle

Data Analyst Intern @Geotab

Oakville, ON, CA

Technology Stack: Google BigQuery, Python, Apache Superset, Apache Airflow, JIRA Collaborated with stakeholders to gather requirements and elicited them to translate actual business needs into data specifications, and deliver actionable dashboards Optimized SQL queries, eliminating slot contention and generating annual savings of over Engineered and implemented a lineage-aware scheduling system that identified optimal pipeline execution times for each DAG, reducing Auto-scaler (Pay as you Go) costs by about 80% Developed a cross-team dashboard to streamline new firmware and software version rollouts, improving organizational alignment, reducing database failures by 30% and enhancing customer communication Developed and embedded an “Optimize” Button in GBQ that triggers a REST API call to a custom written RAG which generates optimized queries within 2-3 minutes, eliminating manual optimization efforts and reducing slot hour usage by about 20% Actively supported colleagues in internal community chatspaces by resolving database and process-related queries, learning recognition for expertise and collaboration Championed the adoption of team-built dashboards and automated tools across departments, enabling data-driven decision-making and process improvements

University of Windsor

Master's degree, Applied Computing

Charotar University of Science & Technology (CHARUSAT)

Computer Engineering