Satish Terala is an enterprise architect and senior data science practitioner with nearly two decades of application engineering experience and 11 years focused on data, analytics and ML in capital markets. He blends hands-on expertise in Spark, Kafka, Hadoop and cloud-native architectures (AWS/GCP) with production ML and deep learning in Python, driving end-to-end solutions from data engineering to model deployment. His domain depth spans derivatives, portfolio management, settlement and compliance, backed by management and technology consulting across trading, risk and treasury. A strategic thinker who equally enjoys debugging pipelines, he has led data engineering and solutions roles at Databricks, ICE and Wellington and now shapes architecture and delivery at TechGrit. Trained at UC Berkeley (MIDS) and Rotman (MBA), he pairs quantitative rigor with business strategy and is a self-described economics scribbler—bringing curiosity and a human, mentoring leadership style to technical teams.
11 years of coding experience
19 years of employment as a software developer
Master of Information and Data Science (MIDS) Data Science, Master of Information and Data Science (MIDS) Data Science at University of California, Berkeley
Data Science, Data Science at General Assembly
Master of Business Administration (MBA) Operations & Strategy, Master of Business Administration (MBA) Operations & Strategy at University of Toronto - Rotman School of Management
Bachelor of Technology (BTech) Mechanical, Bachelor of Technology (BTech) Mechanical at NIT KURUKSHETRA
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