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Harshitha_yajamanam User

@harshitha_yajamanamu

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I build production ETL pipelines and analytics tools that eliminate manual work.

India

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What I'm looking for

I'm looking to build reliable data infrastructure, self-service analytics tools, and KPI reporting that help cross-functional teams make faster, better decisions.

At Amazon, I built three production ETL pipelines, an Error Trend Dashboard used in senior management reviews, and a self-service Revert UI that reduced data correction turnaround from hours to minutes. My work eliminated manual Excel workflows, saving approximately four hours of daily team effort.

I've supported analysts, data scientists, and operations teams through reliable data modelling, KPI reporting, root-cause analysis, and end-to-end stakeholder delivery. I also bring BFSI risk analytics exposure from MUFG, where I analysed client relationship trends and built dashboards for senior reviews.

Experience

Work history, roles, and key accomplishments

ML Data Associate – Analytics Engineering, Data & Reporting

Amazon

Oct 2024 - Mar 2026 (1 year 5 months)

Designed and delivered 3 end-to-end production ETL pipelines in Python and SQL, eliminating manual Excel workflows and saving approximately 4 hours of daily team effort. Owned the Error Trend Dashboard and Revert UI, presented at senior management reviews, and maintained a 100% on-time reporting record.

Python SQL Power BI AWS S3 Glue EMR Snowflake Hadoop Spark ETL Data Modeling Data Governance Agile Scrum

Education

Degrees, certifications, and relevant coursework

Gates Institute of Technology

Bachelor of Technology, Computer Science Engineering (Data Science)

2020 - 2024

Grade: 80%

Activities and societies: President of IDEA LAB – The Innovators Club; Event Organiser and Anchor; Team Lead for Graphic Design and Broadcasting.

Pursued a Bachelor of Technology in Computer Science Engineering with a focus on Data Science, achieving an aggregate of 80%. Completed a capstone project on Cyber Threat Detection using Python and Artificial Neural Networks.