Lalan Panjiyar

Currently leading a team of strong engineers building high-scale, highly reliable data processing systems for Prime Video business supporting content demand, content evaluations and marketing measurements products. My team build Software & Data products and infrastructure supporting 50+ scientists and economists. What I do? • Set the team vision and roadmap, strategically connecting the goals of the company and our product to the team’s short and long term deliverables and navigating competing organizational priorities • Effectively partner with a diverse group of stakeholders to enable healthy and impactful collaboration among teams • Monitor and proactively address any drain on the team's productivity and efficiency, ensuring the team can focus the majority of their efforts on innovation. • Hire and grow a diverse, high-performing team of top-tier data engineering talent to this team. • Provide direct, candid, and effective feedback to channel their strengths to impact and address their growth areas. What tech projects I own? • Leading efforts to build 3P data-lake of Prime Video contents worldwide by integrating with social, digital and search platforms, that provides real-time high quality content demands data that is consistent, accurate, privacy aware and scalable across family of marketing & user engagement platforms. • Envisioned & led efforts to build a scalable generic plug and play data compute platform with power of EMR and a user-friendly UI for Machine Learning model development to enable ML, DE & BIE’s teams across organization to scale while saving costs on hardware. Currently supporting MLOps for whole Prime Video Finance organization supporting 7+ teams deploying 500+ ML models. • Envisioned and led efforts to develop a solution to enhance privacy of data in data warehouse as per GDPR, CCPA etc.

Enabling Amazon Prime Video business to make smart economical investment decisions in content and marketing sector, by using data analytics and Machine Learnings.

building data platform and Spark based feature engineering pipeline by processing terabytes of data to enable ML modeling at company scale to produce actionable insights and forecasting for business

Designing and building analytical features for Oracle CRM Products for supporting world-wide customers. Building tools required for auto-migrations of ETL pipelines from one product to other such as Informatica to Oracle Data Integrator. Lead engineer for driving many end-to-end product feature deliverables.