Adarsh Anand

Experience

• 

  ZS

  Feb 2020 - now

  Redesigned entire Domain build process by leveraging GenAI tools at each step (data discovery, modelling, build and testing). The new process used tools like ChatGPT and copilot for faster work and limited manual intervention. The new process resulted in overall productivity gain by 20 %.• Led a team of 8 engineers in designing and implementing robust ETL pipelines (Databricks) for regulatory andoperational data. This ensured low-latency data availability, empowering the business with real-time insights for optimized decision-making processes further enhanced by Tableau dashboards.• Spearheaded the development of an AI-powered chatbot utilizing cutting-edge NLP techniques. This innovative solution resulted in a 50% improvement in process efficiency in information modelling and significantly reduced the reliance on semantic expertise, freeing up valuable resources.• Collaborated with PD SME’s for E2E Regulatory filing Content Automation. This led to creating denormalized business layer and automating templates used for regulatory filing also leading to a 50% cost reduction by significantly decreasing reliance on manual Excel files for template filling.• To further enhance data security, I implemented granular, row-level data security measures within the Databricks Unity Catalog. This initiative effectively bolstered financial data integrity by ensuring the protection of sensitive information.• Conducted training sessions and initiatives on leveraging Gen AI for project build and execution tasks. This resulted in increase in usage of GenAI tools within at the Enterprise space and gave overall productivity gain of 20-25%. Show less Spearheaded the automation of CI/CD pipelines by leveraging GitLab. This initiative resulted in a significant reduction in manual intervention (over 90%) and significantly faster deployment times (over 50%), streamlining the development process.• Engineered creation of Semantic Data Layer called EDF (Enterprise Data Fabric: a connected data layer for enhanced analytics) by leveraging ETL pipelines, airflow for orchestration and Stardog/Marklogic for graph layer. It became the one stop solution for all data analytics in client ecosystem.• Strengthened data security by implementing Role-Based Access Control (RBAC) within Stardog using AD/LDAP groups. This ensured stringent access control and effectively safeguarded sensitive data.• Increased query performance by 10 times by envisioning, redesigning, and presenting enhancements to the data warehouse and stored SQL procedures.• Worked on Stardog federated queries allowing access to graph Data outside the working Database. The solution was later enhanced by usage of virtual graphs which successfully resulted in data access by implementation of data virtualization.This resulted in increase in efficiency and cluster cost reduction by 20%. Show less

  • Senior Engineer

    Oct 2022 - now

  • Business Technology Associate Consultant

    Aug 2022 - Sept 2022

  • Bussiness Technology Associate

    Aug 2020 - Jul 2022

  • Business Technology Associate Intern

    Feb 2020 - Jul 2020