Develop engineering roadmap and sprint plans from ground up, ensuring adherence to given timelines and fulfillment of customer deadlines.

Supervise the engineering team, implement architectural frameworks, and provide guidance, enabling engineers to make informed decisions.

Automate and improve manual processes, reducing new customer onboarding timelines from months to days.

Developed a configurable product that provides real-time, cross-system data accessibility for customers, facilitating previously unavailable data insights.

Implemented pipelines that process a broad spectrum of data- financial, payroll, and sales - from over 10 systems and created a debuggable and configurable data warehouse.

Designed a comprehensive web application and specialized KPI library for custom report creation and scheduling, supporting dozens of unique reports per customer.

Productionize machine learning recommendation models using Python and Go microservices

Deploy and monitor server resources using Google Kubernetes Engine

Create data pipelines using Python, BigQuery, and Spanner that process terabytes of data daily