Open to opportunities

Preetam Rana

@preetamrana

Data Engineer building cloud-native AWS ETL pipelines and automated reporting to eliminate bottlenecks and speed decisions.

India

Message

What I'm looking for

I’m looking for a Data Engineering role where I can build reliable AWS ETL pipelines and automate reporting end-to-end. I want to partner with business teams, improve data throughput, and ship dashboards that make decisions faster.

I’m a Data Engineer with hands-on experience in cloud-native ETL pipelines, workflow automation, and data-driven reporting. I specialize in AWS (S3, Glue, Lambda), Python, SQL, Docker, and Apache Airflow, and I focus on reducing manual work while improving pipeline efficiency for faster business outcomes.

In my current role, I designed an end-to-end e-commerce AWS ETL pipeline that cut processing time by 40% and removed reporting delays of 24+ hours. I also built a centralized Django-based report distribution portal using Microsoft Azure Graph API (cutting overhead by 35%) and deployed a Dockerized Airflow pipeline that parses inbox emails, auto-downloads CSVs, and fully removes daily manual intervention. Previously, as an Operations Executive and intern, I supported reporting workflows, resolved analytical queries, audited financial datasets for accuracy and compliance, and helped streamline data handoffs to reduce delays.

Experience

Work history, roles, and key accomplishments

Business Operations Executive

GrayQuest Finance

Apr 2024 - Aug 2024 (4 months)

Reviewed, audited, and validated financial datasets across 50+ monthly reports, resolving discrepancies to ensure accuracy and regulatory compliance. Partnered with operations, finance, and product teams to map and streamline data handoff processes, reducing reporting delays and improving cross-functional data visibility.

Data Auditing Data Validation Regulatory Compliance Process Mapping Cross Functional Collaboration