Sensato Investors is an Asia focused quantitative hedge fund with a long/short equity strategy primarily focused in Asia. We manage about $2.5 billion in assets. Responsible for the end-to-end financial data pipeline of millions of structured and semi-structured data from source to signal generation. Architected and developed a flexible, resilient and 24x7 supportable data ingestion framework to acquire, parse and persist financial data from a myriad of sources. Oversaw the migration of legacy ETL feeds into the new framework.■ Reduced the delay in daily trade list generation process by over 97%.■ Improved the turned around time required to find and fix data related issues. ■ Fast implementation time to integrating new financial data sources, contributing to the model performance/funds alpha.■ Designed and developed a microservices architecture for a scalable & re-useable platform.Technology Stack: ■ Python, R, AWS, MySQL, MSSQL, Linux

■ Managed & implemented point-in-time Broker Estimates & Fundamentals strategic database, allowing quantitative research clients to conduct rigorous historical and back testing analysis on proprietary financial models■ Led the complex migration of 30 years of legacy Estimates content into the new strategic database, further augmenting the product offering■ Developed components of a scalable analytics engine, using memory based data structures treating formulae as metadata, shortening SDLC and improving the time to market new analytics■ Designed a low latency extraction algorithm to distribute point-in-time Broker Estimates content in real-time, enabling clients to expedite decision making and gain competitive edge■ Collaborated with the infrastructure team to size and plan hardware resource requirements to implement a live-live cluster based disaster recovery system, ensuring continuity of operations

■ Re-factored data quality validation module for Fundamentals data collection system, leveraging the analytics engine, saving development and maintenance costs■ Developed an arithmetic auditability system for analytics engine computations, improving user experience and confidence and reducing product support costs■ Modeled Strategic Data Interface for Fundamentals real-time content, promoting data consistency and optimizing the distribution and consumption of the content for internal clients■ Remotely managed and mentored a team of developers to deliver strategic projects

■ Architected & developed Metadata database for Sell/Buy Side Broker Research documents, improving Search user experience and productivity of research analyst clients■ Developed backend stored procedures using PL/SQL to refine workflow solutions for key Thomson Financial products■ Created various back-end logical database structures using Erwin Studio and implemented core interface modules using C# to deliver metadata to product databases, promoting product performance

■ Designed & developed a feature rich, thin-client SaaS solution, FundUtopia, catering to Investment Data Management, Reporting and Automated Publishing companies lowering client process costs■ Developed software for data calculation & aggregation, generating returns-based performance, risk statistics & style analytics assisting clients minimize risk■ Created an application to import external benchmark statistics sources such as Morningstar & Lipper and to commingle with in-house analytics boosting product coverage

■ Database Administrator for implementing backup strategies, tuning and measuring performance throughput of HMIS (Hazardous Materials Information Systems) database■ Performed business analysis, documented requirements and developed conceptual models in UML■ Involved in the design and development of software libraries to encapsulate core business workflow rules and government policies

■ Contributed to the development of a hospital management information system