Zafrullah Bhatti

• Design and maintain scalable analytics data models to support product, business, and growth use cases.

• Build and optimize data transformations using SQL and dbt to ensure reliable, consistent, and well-structured datasets.

• Develop and maintain the analytics layer on cloud data warehouses, improving data quality, performance, and usability.

• Collaborate with cross-functional teams to translate business requirements into robust data models and metrics.

• Improve data reliability through testing, documentation, and best practices in analytics engineering.

• Optimize queries and data structures to enhance performance and cost efficiency.

• Enable self-service analytics by supporting dashboards and reporting for key stakeholders.

• • Designed and implemented a new system for calculating recognized revenue from subscription data, improving accuracy and alignment with financial reporting standards.\

• • Partnered closely with the Finance team to automate and standardize revenue recognition accounting entries across multiple markets.

• • Led the development of scalable data pipelines and payout reporting tools, enabling timely and accurate payments to content partners.

• • Automated quarterly reporting workflows using BigQuery and Google Apps Script, reducing manual effort and ensuring consistent data delivery across regions.

• • Built flexible infrastructure to support multiple payment models (e.g., Pay Per Hour, Pay Per Book, RevShare) and regional requirements, streamlining financial operations.

• • Drove cross-functional collaboration between Data, Finance, and Content teams to ensure alignment between product usage, revenue reporting, and accounting needs.

• * Acts as a role model for the team, challenging current processes and practices to raise the technical excellence bar

• * Drives the adoption of guidelines and best practices, fostering a team culture that values quality and reliability

• * Demonstrates expertise in structuring databases and abstracting logical layers within the tool landscape

• * Takes on complex problems and designs scalable solutions, showcasing problem-solving skills

• * Proactively identifies and addresses performance and optimization issues, ensuring the delivery of high-quality technical products.

• * Working with internal stakeholders like Customer Success, Sales and Revenue Operations to drive topics like Adoption, Revenue Engine, Churn prevention and customer reporting.