Abhinav Gupta

Senior Software Engineer

Washington, DC, United States2 yrs 11 mos experience

Highly Stable

Key Highlights

Expert in building scalable data products.
Proven track record in optimizing data processing workflows.
Strong background in AI and Machine Learning.

Stackforce AI infers this person is a Data Engineering and Software Development expert in SaaS.

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Skills

Core Skills

Data EngineeringSoftware DevelopmentBig DataData Science

Other Skills

AWSAWS LambdaAgile MethodologiesAmazon MWAAAngularApache AirflowApache SparkC++CSSComputer VisionData ProcessingData StructuresDeep LearningEMRETL

About

Currently pursuing Master's in Engineering (MSE) in Computer Science at Johns Hopkins University, focusing on advanced concepts in Artificial Intelligence, Machine Learning, NLP and Deep Learning As a Senior Software Engineer at ZS Associates, I work on building and enhancing large-scale data products that help clients manage and utilize their data more effectively. I’ve contributed to multiple product features from the ground up, taken ownership of client requirements, and collaborated closely with cross-functional teams to ensure smooth delivery and ongoing support. In my role, I focus on solving complex problems with scalable solutions, improving performance, and ensuring smooth user experiences. I’ve also led initiatives that improved efficiency, reduced processing times, and simplified workflows for end users. Beyond development, I regularly document my work, share knowledge with my team, and act as a go-to person for product expertise. I enjoy working in fast-paced environments where I can take initiative, drive impact, and keep learning continuously.

Experience

Zs

3 roles

Senior Software Engineer

Promoted

Jan 2025 – Jul 2025 · 6 mos · Pune, Maharashtra, India · On-site

Acted as the Subject Matter Expert (SME) for the product, offering technical guidance and cross-functional support to Development, QA, PSR, and T2 Support teams.
Reduced client overhead in the Driver Data module by introducing a 'Replace All' functionality, streamlining the data upload process for improved speed and ease of use.
Optimized the existing EMR cluster restore functionality, resulting in a 20–25% reduction in restore time by identifying and reducing the redundancy in the restore steps and enhancing system efficiency.

AWSData EngineeringSoftware DevelopmentSystems Design

Software Engineer

Jul 2022 – Dec 2024 · 2 yrs 5 mos · Pune, Maharashtra, India · On-site

Spearheaded the development of the Driver Data feature in Zaidyn Data Hub, enabling high-speed uploads of up to ~2TB in under 15 minutes with extensive quality checks. Leveraged AWS Lambda and parallelized data validation processes to optimize performance.
Key accomplishments:
1) Took ownership and led the development of new client requirements
2) Conducted knowledge transfer sessions to upskill the team on the technical implementation
3) Created detailed design documentation to support future maintenance
Contributed to the development of Advanced Process Management—an orchestration engine for building and managing ETL workflows—by leveraging Amazon MWAA and EMR to ensure scalable and efficient data processing.
Developed multiple data adaptors for Salesforce, Snowflake, S3, AWS Redshift, and various RDBMS by integrating their internal APIs, handling authentication via tokens and credentials, and enabling secure data transfer across platforms.
Designed and implemented the Data Ingestion and Export feature to transfer data to and from Hive to various Adaptor sources, utilizing Big Data technologies such as EMR, Hadoop, Hive, and PySpark to facilitate fast and seamless transfers.

AWS LambdaETLData ProcessingData EngineeringBig Data

Software Engineer Intern

Jan 2022 – Jun 2022 · 5 mos · Pune, Maharashtra, India · On-site

Contributed to feature development and maintenance of Zaidyn Data Hub—an ETL platform for ingesting and exporting data across diverse sources—by implementing new functionalities and resolving issues in existing modules.
Improved application reliability by increasing code coverage to around 80-85% through comprehensive unit and integration tests using the Pytest framework.
Contributed to end-to-end localization efforts across 5 languages, automating translation workflows and reducing build errors and manual effort by 95%.

PythonETLUnit TestingSoftware Development

Byteblanket

Data Science Intern

Jun 2020 – Jun 2021 · 1 yr · Dubai, United Arab Emirates · Remote

Automated incremental data ingestion and processing pipelines using Numpy, Pandas, SQL, and Scikit-learn, facilitating real-time feature engineering and predictive modeling for large-scale fintech datasets.
Engineered end-to-end data pipelines to collect, clean, and analyze sales data from 100+ Asian banks and built Tableau dashboards to uncover key patterns and accelerate strategic decision-making for fintech clients.

NumpyPandasSQLScikit-learnTableauData Science

Edumanta

Subject Expert - Python

Jun 2020 – Oct 2020 · 4 mos · Kolkata, West Bengal, India

Worked as a freelance subject expert, delivering Python solutions, guiding students, and resolving technical queries.

Universiti putra malaysia

Research Intern

May 2020 – Jul 2020 · 2 mos

Contributed to a research paper on developing the Exo-SIR model, an extension of the popular SIR model used for COVID-19 detection and prediction, demonstrating the importance of modeling the spread of COVID-19. The proposed Exo-SIR model provided valuable predictions to assess the impact of the disease.