Diwakara Arkachar

Diwakara Arkachar

Software Engineer @ Thomson Reuters

About Diwakara Arkachar

Diwakara Arkachar is a Software Engineer with extensive experience in developing interpreters and utilities for data processing. He has worked at Thomson Reuters since 2007 and has expertise in handling financial data from various providers.

Work at Thomson Reuters

Diwakara Arkachar has been employed at Thomson Reuters as a Software Engineer since 2007. Over the course of 17 years, he has contributed to various projects that enhance data processing capabilities. His role involves developing software solutions that support real-time data analysis, which is critical in the financial sector.

Education and Expertise

Diwakara Arkachar studied at Mysore University, where he earned a Master of Science (M.Sc.) in Statistics. His educational background provides a strong foundation for his work in software engineering, particularly in data analysis and processing. He possesses extensive experience in programming languages such as C, C++, and PASCAL, which he applies in real-time software development.

Background

Diwakara Arkachar has a robust background in software engineering, with a focus on developing interpreters and utilities for data processing. His experience includes working with various financial data providers, including Tradeweb, ICAP, SURF, and CIBC. He is proficient in UNIX platforms and has skills in SHELL scripting and AWK programming.

Achievements

Throughout his career, Diwakara Arkachar has developed several utilities and tools in PERL, which have improved research and analysis speed. He has also created automated routines for the routine FTP of files, enhancing operational efficiency. Additionally, he has migrated existing tickers to larger machines, facilitating upgrades and expansions.

Technical Skills

Diwakara Arkachar is skilled in developing software in a real-time environment. His technical abilities include setting up jobs using schedulers to streamline processes, which contributes to operational efficiency. His expertise in handling diverse financial data sources showcases his capability in managing complex data systems.

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