Manikant Prasad

• Manages a team of 6 professionals with various backgrounds - DevOps, DataOps, QA, Information Security & Analysts
• Overall team development through hiring, managing, mentoring, providing feedback and performance assessment
• Collaboration with Product and DevOps team to ensure timely and quality product development
• Manages overall SSDLC and provides leadership and ownership for process improvements
• Actively contributing as a Data Engineer and DevOps leader
• Architecting the data, development and deployment platforms and process
• Leading and supporting on-going POCs to continuously enhance our tech-stack

• Developing and maintaining data pipelines, development process and deployment infrastructure for multiple insurance-based products using R scripts.
• Cleaning, formatting and preparing data from multiple clients and formats using R and Python
• POC, installation, implementation and maintenance of Data Warehousing technologies (MariaDB Columnstore & Snowflake)
• Leading the migration of data and deployment infrastructure to cloud (Azure)
• Introduced Ansible for automating the resource provisioning on cloud (Azure)
• Leading the automation of deployment activities through CI/CD (Azure DevOps)
• Translation of R scripts into SQL or sparklyr based code
• Contributing to web-application development wherever required including data layer design
• Managing releases, sprints and SDLC

• Developing various functional components of the data warehouse including ETL applications, data cleansing functions, system management functions, replication/load automation, data acquisition functions and others
• On-boarding new data sources to various environments such as Vertica DB, MySQL, Hadoop etc
• Optimizing existing reports and jobs to improve performance and translation/migration from legacy codebase and tools
• Stakeholder management
• Investigating production data issues

Malware Propagation Dynamics in Interdependent Networks

• Worked on simulation of epidemic models (SIR & SIS) in interdependent Erdos-Renyi and Scale-Free networks to explain the spread dynamics of computer virus across such networks

Private Fine-Grained Profile Matching in Proximity-based Mobile Social Networks

• Worked on implementing a secure profile matching algorithm to match various profiles in proximity with a user.
• Privacy in profile matching was ensured by using protocols based on Homo-morphic encryption.