Open to opportunities

Purva Rathod

@purvarathod

Data engineer designing scalable ETL pipelines and Azure analytics—turning data into faster decisions with quality and reliability.

India

Message

What I'm looking for

I’m looking for a role where I can build reliable Azure data platforms and production ETL/ELT pipelines, strengthen data quality and SLA performance, and apply GenAI/LLM-powered approaches to real analytics and decision-making.

I’m a Data Engineer with 3+ years of experience at Accenture, where I design and deliver scalable ETL/ELT pipelines, cloud-based data platforms, and analytics solutions. I’ve engineered 10+ end-to-end pipelines using Python, SQL, Azure Data Factory (ADF), and Power BI Dataflows—cutting data delivery time by 35%—and automated 15+ manual workflows to reduce processing time by ~50%.

I focus on dependable data outcomes: I redesigned SQL dataset architecture to accelerate dashboard refresh cycles by ~40%, built data quality frameworks across 8+ production pipelines (reducing defects by 30%), and implemented anomaly detection that surfaced 200+ inconsistencies in the first month. I also served as an SME across 3 delivery cycles—mentoring 4 junior engineers, leading architecture reviews, and resolving 20+ critical incidents—while continuously expanding into GenAI and LLM-powered data applications.

Experience

Work history, roles, and key accomplishments

Data Engineer

Accenture India

Dec 2021 - Sep 2024 (2 years 9 months)

Engineered and deployed 10+ end-to-end ETL/ELT pipelines using Python, SQL, and Azure Data Factory, reducing data delivery time by 35%. Built data quality frameworks and anomaly detection logic, cutting defects by 30% and improving reliability with 99%+ SLA compliance while mentoring 4 junior engineers.