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Arpit Singh

@gaharvar79

Software Engineer at Tech Mahindra

Bengaluru, Karnataka, India

Tech MahindraSRM University

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

Bengaluru

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.

Bengaluru

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.

Chennai

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

Jan 2017 - Jan 2021

Skills

Java
Python
SQL
PySpark
Apache Spark
Apache Kafka
Apache Airflow
Databricks
Git
Docker
Microsoft Azure
Pandas
Numpy
BeautifulSoup
Data Warehousing
Data Modelling
Data Analysis