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Mohan Sai User

@mohansaiuser

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Results-driven Data Engineer with expertise in AWS-based solutions.

United States

Message

What I'm looking for

I seek a collaborative environment that fosters innovation and offers opportunities for professional growth.

I am a results-driven Data Engineer with over 5 years of experience in architecting and implementing scalable AWS-based data solutions. My expertise spans a wide range of AWS services, including S3, Glue, Redshift, and EMR, and I have a proven track record of developing robust ETL workflows using tools such as DataStage, Apache NiFi, and Informatica. I excel in building both batch and real-time processing pipelines, deploying containerized applications with Docker and Kubernetes, and automating CI/CD pipelines with Jenkins and Groovy.

Throughout my career, I have consistently delivered impactful data solutions that align with business goals. At KeyBank, I improved analytics performance by 20% through machine learning models and reduced manual reporting efforts by 60% with a serverless data pipeline. My experience at Cognizant involved optimizing ETL pipelines and implementing real-time data integration, which significantly enhanced processing efficiency and query performance. I am passionate about leveraging data to drive strategic insights and support decision-making processes.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

KeyBank

Feb 2025 - Present (5 months)

Developed and deployed machine learning models in R for predictive insights into customer behavior, improving analytics performance by 20%. Orchestrated a serverless data pipeline integrating AWS Lambda and Amazon Athena for automated log processing, reducing manual reporting effort by 60%.

AWS Lambda Amazon Athena Apache Kafka AWS CodePipeline GitHub Actions Jenkins Amazon Redshift Power BI

Data Engineer

Cleveland-Cliffs

Aug 2024 - Present (11 months)

Designed and implemented a security framework using AWS Lambda and DynamoDB to enforce fine-grained access controls to Amazon S3. Built automated CI/CD pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy, reducing deployment time by 50%.

AWS Lambda DynamoDB Amazon S3 AWS CodePipeline CodeBuild Code Deploy Apache Flink Scala Python Pyspark Hive

Data Engineer

Cognizant

Aug 2021 - Present (3 years 11 months)

Developed and optimized ETL pipelines in Databricks using PySpark and Spark SQL to process terabytes of semi-structured insurance data from Amazon S3, improving query performance by 60%. Implemented real-time data integration using Amazon Kinesis Data Streams and AWS Glue, streamlining message-driven workflows.

Databricks Pyspark Amazon S3 AWS Glue Amazon SageMaker TensorFlow DBT Amazon EKS Kubernetes

Data Engineer

ACT Fibernet

Jun 2019 - Present (6 years 1 month)

Designed and implemented scalable data architectures using Apache Kafka and Apache Spark, optimizing the flow of broadband performance metrics and usage data. Built and automated robust ETL workflows with SQL Server Integration Services (SSIS) to extract data from CRM systems and network logs, reducing manual processing time.

Apache Kafka Apache Spark SSIS Pyspark Databricks Docker Jenkins Excel PowerPoint

Education

Degrees, certifications, and relevant coursework

University of Cincinnati

Masters in Information Technology, Information Technology

Grade: 3.94

Pursued a Master's degree focusing on advanced topics in Information Technology. Achieved a strong academic record with a GPA of 3.94, demonstrating proficiency in the field.

Vignan University

Bachelors in Electrical and Electronics Engineering, Electrical and Electronics Engineering

Grade: 4

Completed a Bachelor's degree in Electrical and Electronics Engineering. Maintained a high academic standing with a GPA of 4, indicating strong foundational knowledge in engineering principles.