Muthuraja Muruganantham
Data Engineer
Talent
LondonMember since September 5, 2026
PythonSQLAWS GlueAmazon AthenaAmazon RedshiftAWS IAMCloudWatchPySparkSpark SQLParquetDelta LakeApache IcebergGitGitHub ActionsCI/CDPartitioningData quality
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PythonSQLAWS GlueAmazon AthenaAmazon Redshift
About
Data Engineer with 3+ years' experience building production ETL/ELT pipelines and cloud data lake architectures using Python, PySpark, Spark SQL, AWS Glue, S3, Athena, and Redshift, processing 10M+ records daily. MSc Computer Science from Coventry University (2026), including a benchmarking study of Parquet, Delta Lake, and Iceberg across 84M+ rows. Eligible for the UK Graduate visa from November 2026, with full UK work rights and no sponsorship required for 2 years.
Experience
Data Engineer at Tata Consultancy Services (2022-07 – 2025-09)
- Designed and delivered scalable ETL/ELT pipelines using Python, PySpark and AWS Glue to ingest, transform and load large-scale datasets from multiple sources into S3-based data lakes and analytics platforms.
- Processed 10M+ records daily using PySpark, implementing joins, aggregations, window functions, and Spark optimisation techniques to improve pipeline processing efficiency and reduce run time.
- Optimised analytical workloads using Amazon Athena and Amazon Redshift through partitioning, predicate pushdown, and Parquet-based storage, reducing query execution time and data scan costs by 30%.
- Provisioned and configured EC2 instances with appropriate security groups and IAM roles to support pipeline execution and testing environments, ensuring secure, repeatable infrastructure setup.
- Built an S3 event-triggered Lambda function to validate incoming file availability and schema, invoking the Glue ETL job on success or alerting via SNS on validation failure.
- Implemented automated data quality checks, schema validation, null checks, and duplicate detection, reducing manual validation effort by 50% and improving production data accuracy.
- Used AWS IAM, CloudWatch, Git, and CI/CD pipeline automation (GitHub Actions) to support secure deployments and maintain reliable production pipelines within Agile delivery cycles, collaborating closely with analysts and data scientists on production-ready solutions.
Education
Master of Science in Computer Science – Coventry University (2025-09 – 2026-09)
Bachelor of Engineering in Computer Science – Anna University (2018-08 – 2022-05)
Skills
Data Engineer