Arpit Singh
@gaharvar79
Software Engineer at Tech Mahindra
Bengaluru, Karnataka, India
Experienced Data Engineer with over two years of hands-on expertise in designing, implementing, and optimizing data pipelines and infrastructure. Skilled in ETL processes, database management, and data warehousing. Collaborative team player with a focus on driving operational efficiency and delivering actionable insights. Dedicated to staying updated with industry trends and continuously enhancing skills to excel in dynamic environments.
Experience
Software Engineer
Tech Mahindra
Served as a T24 technical consultant, contributing to the successful implementation of the TPH framework in client’s banking solution platforms, resulting in a streamlined process and a 15% reduction in system integration time. Drove the design and execution of a robust data pipeline through Apache Airflow, yielding a noteworthy 25% increase in processing efficiency for SWIFT payment files within the TPH framework. This initiative significantly optimized data workflows, demonstrating a key contribution to operational effectiveness and system performance.
Software Engineer
Temenos India Pvt. Ltd.
Teamed up with the Payments department to collect and analyze new requirements associated with domestic payment operations. Effectively deployed customized solutions utilizing the TPH framework, leading to a substantial 35% enhancement in processing efficiency and an impressive 80% reduction in errors. Played a pivotal role as a member of the Local Clearing team, aligning the bank’s operational requirements with the standards of Local Clearing houses such as COELSA, FEDNOW, and SIC across diverse regions.
Software Engineer Intern
Temenos India Pvt. Ltd.
Collaborated with the CMB development team to establish a structured and optimized pipeline, enhancing the efficiency of ingesting and transforming incoming payment files. Implemented automation for manual processes associated with incoming payment files, leading to a notable 20% surge in operational efficiency. Orchestrated operational processes, resulting in a 40% reduction in turnaround times and a 20% decrease in errors, significantly enhancing data accuracy and reliability.
Education
SRM University
B. Tech
Computer Science and Engineering