ROHIT SANKAR
Chennai
Summary
Results-driven AWS Data Engineer with experience at Cognizant Technology Solutions, specializing in serverless ETL pipelines and workflow orchestration. Expert in AWS Glue and Python, I enhanced data throughput by 40% and automated processes, showcasing strong problem-solving skills and a commitment to operational excellence.
Overview
1
1
Certification
5
5
years of professional experience
Work History
AWS Data Engineer
Cognizant Technology Solutions
Chennai
04.2023 - Current
- Architected end-to-end serverless ETL pipelines using AWS Glue, Athena, and PySpark, increasing data throughput by 40% for large-scale production datasets.
- Engineered Lambda-based automated triggering logic, saving over 10 hours of manual intervention weekly while achieving 99.9% pipeline execution reliability.
- Optimized PySpark transformation logic and partitioning strategies, resulting in a 50% reduction in Glue compute costs and significantly improved query performance in Athena.
- Collaborated with QA and Operations teams to implement retry logic and fail-safe handling, enhancing centralized logging through CloudWatch.
Data Engineer Intern
Cognizant Technology Solutions
02.2022 - 08.2022
- Leveraged AWS services, including S3, Lambda, and Glue, for data engineering support.
- Developed test datasets and transformation logic in PL/SQL to streamline migration and validation.
- Conducted production issue simulations and resolution walkthroughs to improve troubleshooting capabilities.
- Shadowed senior engineers to acquire skills in orchestration patterns and workflow design using Step Functions.
- Collaborated remotely on team projects to enhance efficiency.
Education
B.E. - Mechanical Engineering
Vels Institute of Science, Technology & Advanced Studies (VISTAS)
Chennai03-2022
Skills
- Cloud: AWS Glue, AWS Step Functions, AWS Lambda, AWS SQS, AWS SNS, AWS S3, AWS Athena, AWS CloudWatch, EventBridge, ETL/ELT Pipelines
- Python, SQL, PL/SQL, PySpark
- Databases: Snowflake, DynamoDB, PostgreSQL, Teradata
- ETL design
- Serverless architecture
- AWS architecture
- DevOps: Jenkins, CI/CD, Git, Bitbucket, Jira, Agile
- Data quality
- Workflow orchestration
Certification
- AWS Certified Cloud Practitioner,
Databricks Certified Data Engineer Associate,
MongoDB Associate Certification
PROJECTS
- Customer Data Migration, Spearheaded the migration of 15M+ legacy customer records to a cloud-native AWS platform using Glue and S3, ensuring 100% data integrity and zero downtime., Led a cross-functional team and delivered the project on time with zero data loss., Recognized by senior leadership for execution quality and delivery., Technologies: AWS Glue, S3, DynamoDB, SQL, Python
- Automated Reconciliation Reporting, Designed and implemented an automated process to reconcile daily errors, warning, and rejection reports., Automated reconciliation workflows with Python and CloudWatch, saving 20+ hours of manual reporting effort weekly and reducing operational overhead by $1,000/month., Technologies: Python, AWS S3, Glue, CloudWatch, FSx
AWARDS
“Raising the Bar” Award from Account Lead for outstanding performance in data pipeline automation and issue resolution in 2024., “Doing the Right Thing” Award from Stakeholders for leading a team of 4 to complete a very important Customer Data Migration project, which included more than 15 million records with 100% data integrity and zero downtime in 2025.
Timeline
AWS Data Engineer
Cognizant Technology Solutions
04.2023 - Current
Data Engineer Intern
Cognizant Technology Solutions
02.2022 - 08.2022
B.E. - Mechanical Engineering
Vels Institute of Science, Technology & Advanced Studies (VISTAS)