▪ Multi-Source Ads Inventory Automation and Integration

• Orchestrated large-scale ETL processes for handling, analyzing, and curating inventory from Linear TV, CTV, and OTT data vendors (Nielsen, Vizio, Teletrax, Beeswax, Beachfront, etc.)

• Seamlessly integrated data pipelines with GHA deployment and Kibana for real-time monitoring and tracking.

• Integrated with event-driven alerts to proactively mitigate system downtime.

▪ Converged Media Optimization

• Took ownership of inventory and viewership data management and processing, developing task-specific data structures for accurate campaign spot selection in optimization.

• Significantly improved overall system response time by 50% through Snowflake SQL query optimization

• Collaborated closely with frontend engineers to design and implement server-side services, RESTful APIs, incorporated with caching (Redis) and hybrid authentications in Agile style, sticking to CI/CD approach.

• Proficient in utilizing Kubernetes for effective pod management and resource orchestration.

• Successfully conducted proof of concept tasks to determine optimal implementation approach for reach & frequency data prediction.

▪ Specialized in mentoring and providing comprehensive technical guidance and walkthroughs, received positive feedback from 10+ junior backend engineers for clear and organized onboarding process, resulting in reduced ramp-up time and increased productivity.

▪ Received consistent accolades from direct manager and teammates for exceptional expertise in rapid bug debugging and turnaround.

• Led the successful delivery of the Unified Measurement product within 3 months collaborated with the team. Leveraged highly abstracted class design for long term benefits and AWS services for effective management of large datasets.

• Played a pivotal role in designing and implementing critical functionalities for the NBCUniversal’s One Platform, facilitating daily inventory data ingestion and enabling seamless delivery of specific features like scheduled measurement reports.

• Implemented and delivered features for SCOPE TV Planner backend application and web server.

• Led the migration effort to transition backend application code for four projects from Python 2 to Python 3, ensuring compatibility, improved performance, and adherence to modern development standards.- Served as the maintainer of the company's critical data warehousing, processing over 7k files 30GB data daily, and migrated Python 2 to 3 version changes with precision and accuracy.

• Took ownership of an independent project as a new hire, driving its success and securing a $370K deal with a new data partner. Independently integrated a new data provider and client into our platform.

• Development of automation software in R for biomedical data analysis to identify cancer cells from different pathological stages with high accuracy.

• Coordinated all aspects of data mining, including pre-process of raw biomedical data, selection of classification methods and evaluation of models.

• Ability to handle highly stressed situations and unexpected errors in an efficient manner.

• Coding, testing and fixing programming errors.