• Leading a team of 3 engineers to support and furnish day to day data engineering needs while delivering a performance data store

• Deploy PyTorch ETA models on SageMaker (TorchScript/ONNX) with MLFlow tracking, achieving 1.8ms inference latency at 10K RPS while cutting training-serving skew 30%.

• Design, automate, build, and launch scalable, efficient and reliable data pipelines into production

Hands-on SQL based data extraction skills to manipulate data from common

relational database systems (PostgreSQL, SQL Server) NoSQL databases (Mongo DB) and cloud based services (like Salesforce,

Workday, etc.)

• Gather reporting and analysis requirements and translate into reporting structures data models, including aggregate tables, pivoted tables, and relational and dimensional (star-

schema) marts