Mummurthi G

Data Engineer

Chennai, Tamil Nadu, India3 yrs 7 mos experience

Key Highlights

Achieved 97% reduction in data latency for financial services.
Led TB-scale cloud migrations with zero data loss.
Built modular ELT frameworks for high-performance data processing.

Stackforce AI infers this person is a Data Engineer specializing in Fintech and cloud-based data solutions.

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Skills

Core Skills

Data EngineeringAwsReal-time Data ProcessingData Architecture

Other Skills

Apache IcebergData WarehousingAWS LakehouseData GovernanceSpark StreamingAWS GlueAmazon RedshiftAmazon S3ETL PipelinesData Quality MonitoringData QualityAWS Lake FormationMedallion ArchitectureApache Spark StreamingChange Data Capture

About

Data Engineer with 4 years of experience designing scalable data platforms and real-time data pipelines on AWS and modern lakehouse architectures. Specialized in building petabyte-scale data warehouses and streaming pipelines using PySpark, Apache Iceberg, Airflow, dbt, and Snowflake. Key achievements include reducing data latency by 97% (22 minutes to 33 seconds), leading TB-scale cloud migrations with zero data loss, and building pipelines processing 10M+ records daily for enterprise platforms including General Motors and Toyota Financial Services. Strong expertise in distributed data systems, dimensional modeling, and modern ELT frameworks. Actively seeking Data Engineer / Senior Data Engineer roles where I can design high-performance data platforms and enable real-time analytics at scale.

Experience

3 yrs 7 mos

Total Experience

1 yr 4 mos

Average Tenure

10 mos

Current Experience

Tekion corp

Data Engineer

Jul 2025 – Present · 10 mos · Chennai · On-site

Working on General Motors' enterprise legacy-to-cloud data migration, designing scalable AWS Lakehouse data platforms at TB scale.
Key Highlights:
Led migration of 35+ PostgreSQL tables and 150+ MongoDB collections with zero data loss during production cutover.
Architected a transactional lakehouse on Amazon S3 using Apache Iceberg enabling ACID transactions and time-travel for 200+ TB datasets.
Reduced downstream pipeline failures by 40% through data contracts, schema validation, and metadata versioning.
Designed Medallion Architecture (Bronze, Silver, Gold layers) with automated schema drift detection and data quality monitoring.
Built modular ELT frameworks using dbt and PySpark on Kubernetes (EKS) with automated testing and CDC-based incremental data loads.
Implemented enterprise data governance using AWS Lake Formation with fine-grained access controls across datasets.

Apache IcebergData WarehousingData EngineeringAWS

Annalect india

Data Engineer

Oct 2024 – May 2025 · 7 mos · Chennai · On-site

Built real-time and batch data pipelines for Toyota Financial Services North America, achieving a 97% reduction in data latency across 200+ TB of financial data on AWS.
Key Highlights:
Reduced data latency by 97% (22 minutes → 33 seconds) using Spark Streaming and AWS Glue pipeline architecture.
Processed 10M+ daily records from 5+ heterogeneous data sources into Amazon Redshift and AWS Athena.
Designed and maintained 15+ Apache Airflow DAGs with retry logic, SLA monitoring, and automated failure alerts ensuring 99%+ pipeline reliability.
Reduced archival storage costs by 35% annually using Amazon S3 Intelligent-Tiering and Parquet compression across 200+ TB datasets.
Migrated enterprise databases from Oracle, MySQL, and SQL Server to Amazon RDS and Amazon Redshift with minimal downtime.
Implemented Apache Iceberg tables with optimized partitioning and compaction strategies for large-scale financial datasets.

Apache IcebergData WarehousingData EngineeringReal-Time Data Processing

Cholamandalam investment and finance company limited

Software Engineer

Aug 2022 – Oct 2024 · 2 yrs 2 mos · Chennai · On-site

Progressed from Software Engineer to Data Engineer, building scalable financial data platforms supporting 15+ investment firms and 10+ commercial banks managing thousands of crores in assets.
Key Highlights:
Engineered automated financial document ingestion platform supporting 15+ investment firms managing ₹4,000+ crore assets.
Built batch and streaming data pipelines publishing hourly financial rate datasets for 10+ commercial banks covering ₹1,600+ crore assets.
Designed cloud data warehouse and data lake architecture storing and processing 200+ TB of structured and semi-structured data.
Improved financial analytics query performance by 46% through MySQL schema optimization, indexing, and query tuning.
Developed parameterized ETL pipelines with incremental loads and automated backfills reducing manual intervention.
Implemented data quality monitoring frameworks including row-count reconciliation and schema drift detection preventing production data failures.

Data WarehousingAmazon S3Data EngineeringData Architecture