Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

Keerthana Chellamuthu

Milton Keynes

Summary

AWS cloud professional with proven track record in data engineering, specializing in design and maintenance of scalable data architectures. Recognized for driving efficiency and reliability in data processing. Committed to collaborative team efforts and adaptable to evolving project requirements, proficient in Python and SQL.

Overview

9
9
years of professional experience
1
1
Certification

Work History

AWS Data Engineer

TCS - Ikea
06.2020 - 03.2026
  • Evaluated emerging technologies to proactively identify opportunities for system improvements or cost optimization strategies.
  • Accelerated time-to-market for new products with agile methodologies in developing end-to-end data engineering solutions.
  • Reduced costs by automating manual processes using AWS Lambda functions.
  • Minimized downtime with proactive monitoring and troubleshooting of complex data pipelines.
  • Facilitated better decision-making with advanced analytical tools like Amazon Redshift or EMR for business intelligence insights.
  • Streamlined data storage and retrieval with the design of efficient data models.
  • Simplified database management tasks, leveraging managed services such as RDS or DynamoDB in the cloud environment.
  • Upheld best practices in code quality, testing, documentation, deployment, and continuous integration within a DevOps-focused team environment.
  • Increased productivity by providing training and support for team members on various AWS services, tools, and best practices.
  • Enabled real-time analytics capabilities by designing streaming data pipelines using Amazon Kinesis or Apache Kafka.
  • Collaborated with cross-functional teams to ensure seamless integration of new data engineering solutions.
  • Wrote and maintained custom scripts to increase system efficiency and performance time.

Big Data Engineer

TCS Chennai-Two Magnum Campus
12.2016 - 01.2023
  • Evaluated emerging big data technologies to ensure relevance with evolving industry trends, maintaining competitive advantage over peers.
  • Migrated legacy systems to modern cloud-based platforms for increased efficiency and scalability.
  • Conducted thorough performance testing to optimize system configurations and maximize resource utilization.
  • Enhanced data quality by developing robust validation strategies to identify and correct inconsistencies.
  • Streamlined data warehousing architecture to support faster analytics and reporting capabilities.
  • Collaborated with cross-functional teams to determine business requirements and translate them into functional specifications.
  • Designed scalable ETL pipelines for improved data ingestion, processing, and storage.
  • Proactively addressed potential bottlenecks in the ETL process through regular monitoring, enabling seamless workflow operations.
  • Integrated real-time streaming technologies for accurate monitoring of critical business metrics.
  • Automated routine tasks through scripting languages, reducing manual effort and human error risks.
  • Reduced query response times with efficient database partitioning and indexing techniques.
  • Secured sensitive information using advanced encryption methods, ensuring compliance with industry standards and regulations.
  • Developed custom visualization tools for better interpretation of complex datasets, aiding in strategic decision making.
  • Optimized data processing by implementing Hadoop and Spark frameworks for big data management.
  • Improved collaboration between teams by creating comprehensive documentation detailing technical aspects of various big data solutions.
  • Led a team of engineers in designing an innovative big data solution that significantly impacted business growth and profitability.
  • Increased operational efficiency by automating repetitive tasks using Python scripts, allowing focus on higher-priority projects.
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • Compiled, cleaned and manipulated data for proper handling.
  • Analyzed large datasets to identify trends and patterns in customer behaviors.

Data Engineer

TCS - Cigna
12.2016 - 10.2020
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
  • Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
  • Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance.
  • Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.
  • Optimized data processing by implementing efficient ETL pipelines and streamlining database design.

Education

Bachelor of Engineering - ELECTRICAL AND ELECTRONICS ENGINEERING

VIVEKANANDHA COLLEGE OF ENGINEERING FOR WOMEN
Tiruchengode, India
05-2016

Skills

  • Python programming
  • Infrastructure as Code
  • CloudFormation templates
  • Big data processing
  • API development
  • Hadoop ecosystem
  • Data migration strategies
  • AWS glue ETL management
  • Data modeling techniques
  • Apache Spark mastery
  • ETL design and implementation
  • Scripting languages
  • Version control

Certification

  • [Name of Certification] [Issuing Organization] [Year Month]

Timeline

AWS Data Engineer

TCS - Ikea
06.2020 - 03.2026

Big Data Engineer

TCS Chennai-Two Magnum Campus
12.2016 - 01.2023

Data Engineer

TCS - Cigna
12.2016 - 10.2020

Bachelor of Engineering - ELECTRICAL AND ELECTRONICS ENGINEERING

VIVEKANANDHA COLLEGE OF ENGINEERING FOR WOMEN

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Keerthana Chellamuthu