Siva Prakash

About Siva Prakash

Highly accomplished technology leader with 20+ years of experience driving innovation in Database Engineering, AI/ML, and Behavioral Analytics. Proven track record of delivering impactful solutions across banking, finance, insurance, and retail sectors. Proven ability to lead large-scale cloud migrations to AWS, design robust and scalable data architectures. Proficient in a range of cloud technologies including AWS services alongside database technologies, including relational and NoSQL databases. Strong emphasis on data governance, security implementation, and performance optimization within cloud environments.Expertise in designing scalable data architectures, developing advanced analytical models, and translating data insights into actionable business strategies.

Experience

1. Sr Vice President

   Chase

   Aug 2019 — Present

   Data Engineering and Database Management:Engineered and deployed robust data models and database schemas optimized for high-throughput transactional systems and advanced AI/ML applications. Employed a flexible data storage strategy utilizing relational databases (RDS Oracle, PostgreSQL, Aurora) to guarantee data integrity and consistency (ACID). Built and managed efficient ETL pipelines leveraging Apache Spark, AWS Glue, and serverless data processing technologies.Behavior Analytics and its Implementation:Developed and implemented real-time behavioral analysis systems to proactively detect fraudulent activities. This involved creating the necessary data infrastructure and processing pipelines to capture, transform, and analyze user interactions, enabling the identification of anomalous patterns.Cloud Architecture and AWS Implementation:Architected and implemented scalable, resilient, and secure cloud-native solutions on AWS. Designed and integrated APIs using RESTful principles and asynchronous messaging via Kafka to facilitate seamless communication and real-time data streaming across systems. Led the development of ETL and data streaming workflows using Apache Spark, AWS Glue, and Kafka Streams within the AWS environment.Security, Compliance, and QA:Established and enforced comprehensive data security protocols, including authentication, strong encryption, and rigorous auditing, ensuring adherence to PCI DSS standards and safeguarding data privacy. DevOps and Automation:Designed and deployed CI/CD pipelines utilizing tools such as Jenkins, GitLab CI/CD, or AWS CodePipeline, integrating automated infrastructure provisioning, testing, and zero-downtime deployment strategies like Blue/Green deployments. Championed Infrastructure as Code using Terraform or CloudFormation to automate the creation, configuration, and management of cloud resources. Implemented end-to-end monitoring and observability solutions.

Education

• MIT Sloan School of Management

  Artificial Intelligence, AI Implication For Business Strategy

• MIT Sloan School of Management

  Machine Learning, ML In Business Program

• Bharathidasan University

  Master of Computer Applications - MCA

• Alagappa University

  Master of Business Administration - MBA