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Anubhav Gupta

@anubhavgupta1

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Data engineer specializing in scalable, cost-efficient AWS data pipelines and cloud solutions.

India

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What I'm looking for

I seek a cloud-first, collaborative team role where I can build scalable, cost-efficient data platforms, automate pipelines, and drive measurable business impact.

I am an experienced Data Engineer with over 3.5 years building scalable, cost-efficient data pipelines and platforms using AWS services, PySpark, Python, and SQL. I focus on delivering production-grade data products that drive analytics, forecasting, and operational efficiency.

At Bristol Myers Squibb and prior employers I designed Medallion architectures, built modular JSON-driven ETL frameworks, and implemented serverless pipelines using Lambda, Glue, Step Functions, Athena, EMR, and S3 to improve reliability, lineage, and cost performance. I have driven measurable cost reductions—optimizing ETL runtimes and cutting infrastructure spend through architectural migration and containerization.

I bring hands-on experience in automation, runtime upgrades, hiring and technical interviewing, and translating dashboards into reusable data products. I am certified as an AWS Cloud Practitioner and eager to apply my cloud-first, cost-conscious engineering approach to deliver business impact.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer II

Current

Bristol Myers Squibb

Sep 2024 - Present (1 year 3 months)

Selected for the Intelligence Hub strategic initiative; designed and delivered a Financial Inventory Projection data product and implemented Medallion Architecture to improve data reliability and enable downstream planning and costing. Owned end-to-end development of serverless pipelines and automated runtime upgrades to reduce operational overhead.

AWS Glue Pyspark AWS Lambda AWS Step Functions Athena S3 ETL Data Modeling Serverless

Data Engineer

Kfintech

Jan 2023 - Sep 2024 (1 year 8 months)

Optimized ETL runtimes and costs, migrated ML pipelines from SageMaker to Fargate/EC2 achieving ~80% cost reduction, and engineered large-scale PySpark pipelines on EMR to prepare >1TB of data for ML and analytics. Built serverless automation with Lambdas and Step Functions to streamline delivery.

Pyspark AWS Lambda AWS Fargate EC2 S3 Step Functions Cost Optimization Docker

Database Developer

PwC

Aug 2022 - Dec 2022 (4 months)

Developed multiple Power BI dashboards to translate complex data into actionable business insights tailored to stakeholders. Collaborated with teams to deliver reporting solutions that improved decision-making.

Power BI SQL Data Visualization Reporting

Python Developer Intern

Bytelearn

Nov 2021 - Jul 2022 (8 months)

Contributed to chatbot development and automation testing, improving functionality and robustness of conversational features and test flows. Participated in feature development and operational efficiency initiatives.

Python Rasa Chatbot Development Automation Testing Collaboration