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Santhoshkumar Karthikeyan

Santhoshkumar Karthikeyan

Data Engineer

Talent
BengaluruMember since April 28, 2026
Software DeveloperETL/ELTData IngestionData TransformationData ValidationData LoadingData ModelingData QualityAWSAmazon S3AWS GlueAWS LambdaDatabricksDelta LakeSnowflakePythonSQLPySparkNode.jsPostgreSQLMySQLDockerAgile/ScrumMonitoringRoot Cause AnalysisTechnical DocumentationTroubleshootingCollaborationReliabilityContinuous Improvement
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Software DeveloperETL/ELTData IngestionData TransformationData Validation

About

Data Engineer with 2+ years of experience in Data Engineering, designing, developing, and maintaining scalable ETL/ELT Data Pipeline solutions for data ingestion, Data Transformation, cleansing, validation, and loading. Skilled in Python, SQL, Databricks, PySpark, Delta Lake, and AWS data services including Amazon S3, AWS Glue, and AWS Lambda, with working knowledge of Snowflake and data warehouse architecture. Experienced in developing efficient SQL queries, data modeling, analytical solution workloads, testing, monitoring, root cause analysis, and production support.

Strong focus on data quality, technical solutions, technical documentation, continuous improvement initiatives, and collaboration across business and technical teams.

Experience

Data Engineer - Swache Technologies - Bangalore, India

(2025-11 - 2026-08)

  • Designed, developed, and maintained scalable ETL/ELT data pipelines for ingestion, transformation, cleansing, validation, and loading of large-scale hospital Machine-Readable Files (MRF) and healthcare pricing datasets using Python and Node.js.
  • Developed data processing workflows and validation checks that identified malformed records before load, improving data quality and reliability across downstream processing.
  • Performed pipeline testing, monitoring, troubleshooting, and root cause analysis, investigating failures and implementing fixes to maintain reliable data processing and application availability.
  • Optimized PostgreSQL SQL queries and data warehouse workloads, reducing core reporting query runtime from several minutes to under 10 seconds.
  • Used AWS Glue and AWS Lambda to support pipeline testing, data validation, and data-processing workflows, with Amazon S3 for cloud-based data storage and Docker for repeatable processing environments.
  • Participated in solution design, technical discussions, code reviews, and continuous improvement initiatives, collaborating cross-functionally and maintaining technical documentation and data-quality procedures.

Software Engineer - Yogic Connection

(2024-07 - 2025-10)

  • Engineered server-side data workflows and data pipelines using Next.js and Vue.js SSR, reducing data delivery latency and improving load speed by 40%.
  • Designed media and content data transformation, transfer, and storage workflows, contributing to a 25% increase in user retention.
  • Scaled a multilingual, data-intensive platform in an Agile/Scrum environment, collaborating with engineering teams across three countries to deliver stable releases with a focus on reliability and continuous improvement.

Data & Backend Engineering Intern - RIOTA Private Limited

(2023-11 - 2024-04)

  • Implemented and optimized REST API endpoints handling data transformation, cleansing, and secure cross-platform data integration.
  • Developed and enhanced database schemas and server-side components using Node.js and MySQL, supporting data ingestion and data loading needs.

Education

Bachelor of Engineering - Electrical, Electronics and Communication Engineering - Adhiyamaan College of Engineering (2020-09 - 2024-05)

Skills

Data Engineer

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