Yashwanth Thonukunuru

• Architected and owned "Single Source of Truth" (SSOT) data products for core business KPIs across multiple domains, centralising logic used by BI teams and executive stakeholders for company-wide performance reporting. • Standardized cross-functional KPIs by aligning metric definitions and logic filters with stakeholders, successfully eliminating data silos and increasing decision-making confidence. • Developed robust dbt modeling layers in Snowflake, transforming raw transactional data into high-performance, analytics-ready marts with clearly defined grains and comprehensive documentation. • Engineered scalable data ingestion workflows using Kafka to land raw event streams into AWS S3, followed by automated loading into Snowflake; designed dbt models to parse and structure semi-structured JSON data into relational schemas for real-time reporting. • Orchestrated production pipelines via Airflow, designing and maintaining complex DAGs to manage dbt schedules, dependencies, and backfills to consistently meet daily and intraday reporting SLAs. • Optimized pipeline reliability and cost-efficiency by implementing incremental materialization strategies and dbt freshness tests; reduced model runtimes and significantly lowered Snowflake compute costs. • Built and maintained P0 Tableau dashboards for business critical monitoring, partnering directly with leadership to define requirements, validate outputs, and drive tool adoption. • Automated BI workflows using Python and Tableau APIs to streamline administrative tasks, reducing manual overhead and improving the consistency of reporting deployments.

• Worked in CRM team, created and managed KPIs to uncover insights into customer behavior and preferences. Built dashboards to monitor and optimize communication campaign performance, focusing on enhancing customer engagement and retention. • Using dbt tool created structured tables and maintained an extensive query library to facilitate efficient data querying and analysis processes. • Conducted ad hoc analysis to provide actionable insights to stakeholders, performed A/B tests to validate core hypotheses and evaluate the impact of communication campaigns.

• Represented Microsoft in overcoming cloud service challenges for corporate clients using advanced data science, machine learning, and AI solutions. • Collaborated with Microsoft's Engineering team to enhance protection in Office 365, email security, and threat response, leveraging data-driven insights and AI-driven threat detection. • Led the development of real-phishing-based Attack Simulation Training to educate users, measure behavior changes, and enhance design through machine learning. • Aided large enterprises in implementing AI-driven Data Loss Prevention policies for enhanced data security

• Joined as Technical advisor and delivered advanced technical problem-solving solutions to global clients.