Satish Gudisay is a senior information management professional with over 20 years of expertise spanning AWS cloud technologies, data analytics, financial crime analytics, machine learning, AI, and advanced business intelligence. Currently serving as Senior Manager of Financial Crime at Commonwealth Bank of Australia since 2021, he specializes in transforming complex data into actionable insights that drive strategic business decisions.
At Commonwealth Bank, Satish has led groundbreaking initiatives including the development of a GenAI Q&A chatbot using AWS Bedrock and Claude-Sonnet 3.5, enabling business users to query databases directly without IT dependency. He successfully managed the strategic migration of the Financial Crime Compliance data platform from Teradata to AWS Athena, significantly enhancing analytics capabilities for over 206 compliance metrics. His machine learning models for retail, business, and institutional banking have been instrumental in screening high-risk customers and monitoring suspicious transactions while ensuring AUSTRAC compliance.
Satish's technical expertise encompasses a comprehensive technology stack including Teradata, Snowflake, Oracle, AWS services (Bedrock, S3, Redshift, Glue, SageMaker), Python/PySpark, Tableau, Power BI, and data governance tools like Collibra and IBM InfoSphere. He holds advanced qualifications including a Post Graduate Diploma in Data Science from IIIT Bangalore, an Advanced Analytics Program certification from UNSW Sydney, and recent Financial Crime Micro-Credentials from Griffith University.
Throughout his career with organizations like NRI (ASG Group), ITC Infotech, and Target Corporation, Satish has demonstrated exceptional leadership in agile environments, managing cross-functional teams and delivering complex data solutions across financial services, aviation, retail, and telecommunications industries. His experience spans multiple countries including Australia, USA, UK, India, and Saudi Arabia.
Proficient in data governance aligned with DAMA DMBOK2 standards, comprehensive data modeling techniques, and establishing robust data quality frameworks, Satish consistently delivers innovative solutions that bridge the gap between technical capabilities and business requirements. His collaborative approach with stakeholders and proven track record in multicultural environments make him a valuable asset in today's data-driven business landscape