V.V.S ABHIRAM GRANDHI

Software Engineer

Visakhapatnam, Andhra Pradesh, India3 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Improved bank reconciliation accuracy by 35%.
Enhanced data processing efficiency by 40%.
Achieved 90% pytest coverage for backend functionalities.

Stackforce AI infers this person is a Fintech Data Engineer with strong backend development skills.

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Skills

Core Skills

PythonSqlData ManagementJava

Other Skills

Advance sqlAnalytical SkillsApplication Programming Interfaces (API)Bank ReconciliationCommunicationContinuous Integration and Continuous Delivery (CI/CD)Data AnalysisData AnalyticsData ScienceData VisualizationDatabasesDecision-MakingDesign DocumentsETLEnrichment

About

Python Data Engineer with 3 years of expertise in building scalable backend systems and optimizing data pipelines in Fintech. Led the development of bank reconciliation systems, enhancing accuracy by 35% and data processing efficiency by 40%.Highly skilled in Python, SQL, Java, ETL, Kafka, Snowflake, AWS, Spring Boot, and RESTful APIs, crafting high-performance solutions. Passionate about leveraging machine learning and data analytics for automation and intelligent decision-making.

Experience

Highradius

5 roles

Software Developement Engineer 2

Promoted

Oct 2024 – Present · 1 yr 5 mos

Spearheaded the design and implementation of a real-time data enrichment pipeline, improving data accuracy
by 80% and enhancing system efficiency by 40%. This ensured that financial operations leveraged high-quality,
actionable data, optimizing bank reconciliation and treasury management processes.
Optimized data chunking mechanisms, enhancing pre-processing efficiency by 40% and accelerating data processing by 30%, ensuring smooth handling of large datasets.
Implemented robust data saving and retrieval processes in Snowflake using Python. Additionally, worked on storage integration with AWS S3, Azure, and GCP, enabling efficient staging of queries and data loading operations across multiple platforms.
Revolutionized the process of defining rules for data reconciliation by introducing an Automatic Rule Discovery Algorithm based on statistical data analysis. This innovation eliminated over 90% of manual rule creation, drastically reducing manual labor and improving the accuracy of reconciliation tasks.

DatabasesRoot Cause AnalysisData ManagementSQLEnrichmentAdvance sql+18

Associate software Engineering - ||

Promoted

Feb 2024 – Oct 2024 · 8 mos

Played a pivotal role as a Backend Developer in a Bank Reconciliation project, utilizing Python and Java Spring Boot to streamline operations. Successfully implemented features that customized and optimized reconciliation processes, achieving a 40% improvement in performance and accelerated outcomes.
Developed a Python utility library that seamlessly connects to various databases and Snowflake, providing teams with an easy-to-use, reliable interface for efficient data transactions and integration.
Enhanced system communication by designing and implementing RESTful APIs to facilitate seamless interaction between front-end and back-end systems.
Achieved a 90% pytest coverage for all backend Python functionalities, significantly enhancing code reliability and robustness.
Successfully facilitated the onboarding of over 5 clients within a year.

DatabasesRoot Cause AnalysisSQLContinuous Integration and Continuous Delivery (CI/CD)Technical DocumentationJava+15