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Dharmendra Garg

@dharmendragarg

Message

I build reliable database and ETL systems, improving performance, data quality, and operational resilience.

India

Message

What I'm looking for

I'm looking to build reliable data platforms and automated pipelines where I can improve performance, data quality, operational resilience, and end-user visibility.

At Teradata, I manage high-availability database environments for global banking and automotive clients including Commonwealth Bank of Australia, Bank of Ireland, and Audi.

I support 150TB+ on-premises and AWS Teradata environments, handling production support, patching, upgrades, disaster recovery, access control, and 100+ client-facing ITIL tickets each month.

I improve query performance through Primary, Secondary, and Join Indexes, PPI extensions, and statistics management, reducing query times by 40% or more. I also reduced database storage by 5TB with Multi-Value Compression and freed 30GB by removing unnecessary objects.

As a Founding Engineer at HandFree MD, I architect and monitor an 11-stage Python, FastAPI, and PostgreSQL ETL pipeline, using LLM-based fuzzy matching, real-time status polling, and automated PDF reporting to deliver validated insights.

Experience

Work history, roles, and key accomplishments

Current

Founding Engineer

Current

HandFree MD

Jan 2026 - Present (8 months)

Architected and monitored an 11-stage automated ETL pipeline using Python, FastAPI, and PostgreSQL. Implemented quality assurance with concurrent LLM streams and built a real-time interactive UI for delivering validated insights and automated PDF reports.

Python fastAPI PostgreSQL ETL LLM Data Quality UI Development Real time Monitoring

Current

Senior Database Administrator

Current

Teradata

Sep 2022 - Present (4 years)

Managed high-availability database architectures and directed performance tuning across enterprise projects in banking and automotive sectors. Administered hybrid environments with 150TB+ of on-premises and cloud databases, resolved 100+ ITIL tickets monthly, and optimized query performance by 40% or more.