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Nayan Bhiwapurkar

@nayanbhiwapurkar

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I build scalable cloud data pipelines, real-time data flows, and production-grade analytics platforms.

India

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What I'm looking for

I'm looking to build scalable, cloud-native data platforms and real-time pipelines, collaborate in Agile teams, and deliver reliable data products that support analytics, AI, and customer-facing features.

I've built scalable ETL/ELT pipelines and real-time data systems across Cognizant, HyperData, Saayam for All, and Arizona State University. My work spans Python, SQL, Spark, Airflow, Databricks, Azure, AWS, and production data platforms.

At Cognizant, I engineered a retail pipeline processing approximately 30 GB daily using Apache Spark, Python, SQL, Azure Data Lake Storage, and Azure Data Factory. I also optimized Spark workloads with caching and broadcast joins, built Kafka ingestion pipelines, and developed monitoring services that reduced system response time by 20%.

At HyperData, I automated zero-touch ETL/ELT syncing with Airbyte, Google Sheets, REST APIs, and Postgres, improving transformation throughput by 35%. I provisioned Azure infrastructure with Terraform and Docker and created Grafana dashboards and operational runbooks.

More recently, I've processed unstructured data for predictive AI features at Saayam for All and applied NLP and sentiment analysis to customer-review research at W. P. Carey School of Business. I also build data streaming, Snowflake, and RAG-based AI projects, including a hotel recommendation chatbot.

Experience

Work history, roles, and key accomplishments

Data Engineer

Saayam for All

Dec 2025 - Jun 2026 (6 months)

Engineered data pipelines and scraping workflows to process data for Saayam's Uber for Help platform, feeding historical and real-time data into a predictive ML microservice. Processed, cleaned, and aggregated unstructured data using AWS Lambda and Python, storing outputs in AWS S3 to support downstream AI features and frontend services.

Python AWS Lambda S3 Data Pipelines ETL Agile Scrum

Data and AI Engineer

W. P. Carey School of Business

Aug 2025 - Dec 2025 (4 months)

Applied Natural Language Processing (NLP) and sentiment analysis to large-scale unstructured datasets, extracting quantitative insights on customer reviews and consumer adoption of robot-assisted restaurant service. Engineered Python workflows using Pandas and Scikit-learn to load, clean, and structure textual review data for sentiment analysis and downstream statistical interpretation.

Python Pandas scikit learn NLP Sentiment Analysis Data Quality

Data Engineer Intern

HyperData

Jun 2024 - Aug 2024 (2 months)

Automated ETL/ELT pipelines using Airbyte that integrated Google Sheets, REST APIs, and other sources into Postgres, eliminating manual data loading and ensuring zero-touch syncing. Optimized transformations using Python and advanced SQL, boosting throughput by 35% for rapidly growing, multi-gigabyte datasets.

Python SQL Airbyte Terraform Docker Azure Grafana

Data Engineer

Cognizant

Nov 2020 - Jun 2023 (2 years 7 months)

Engineered a retail data pipeline that processed ~30 GB of daily data with Apache Spark, Python, SQL, Azure Data Lake Storage, and orchestrated data workflows in Azure Data Factory, designing dimension- and fact-table models to enable timely point-of-sale analysis for business users. Implemented an incentive program based on sales performance, boosting motivation among sales teams.

Apache Spark Python SQL Azure Data Lake Azure Data Factory Airflow Azure DevOps Java Spring Boot Splunk Dynatrace REST APIs Microservices Swagger Junit Mockito

Software Engineer Intern

Cognizant Technology Solutions

Dec 2019 - Apr 2020 (4 months)

Developed a Twitter-like social media platform using Java, Spring Boot, Angular, REST APIs, and microservices, enabling thousands of concurrent users to post and view updates with sub-second response times. Enhanced scalability by integrating Kafka and MongoDB and implemented real-time monitoring with Grafana, Zipkin, and Prometheus, resulting in faster issue detection and higher system throughput

Java Spring Boot Angular REST APIs Microservices Kafka MongoDB Grafana Zipkin Prometheus Azure DevOps Docker

Education

Degrees, certifications, and relevant coursework

Arizona State University

Master of Science, Data Science

2023 - 2025

Grade: 4.0/4.0

Pursuing a Master of Science in Data Science with a perfect GPA of 4.0/4.0. Coursework includes statistics, data processing at scale, artificial intelligence, data mining, and machine learning.

University of Pune

Bachelor of Engineering, Computer Science

2016 - 2020

Grade: 8.6/10.0

Earned a Bachelor of Engineering in Computer Science with a GPA of 8.6/10.0. Coursework included data mining, data analytics, artificial intelligence, and machine learning.