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Data Engineer with 1+ years in ETL Pipeline Design & Cloud Infrastructure
Data Engineer with a proven track record of optimizing high-scale data pipelines, e-commerce API integrations, and cloud infrastructure. Specialized in extracting and transforming critical business data from the Amazon ecosystem (SP-API) using Python, SQL, and robust ETL workflows. Expert at replacing legacy bottlenecks with high-efficiency automation, streamlining data flow into financial models, and delivering real-time operational visibility. Strong foundation in machine learning and data visualization, perfectly positioned to scale proprietary technology infrastructure and evaluate AI tooling.
IIT Madras
Diploma · Data Science
August 1, 2024 – June 30, 2024
University of Hyderabad
Integrated M.A. · Political Science
August 1, 2022 – June 30, 2022
Razor Group
Data Engineer
April 1, 2025 – January 31, 2026
Hyderābād, Telangana, India
HC Robotics
Trainee for AI and Deep Learning
January 1, 2025 – April 30, 2025
Hyderābād, Telangana, India
Financial Decision-Making & Cash Flow Analytics
September 1, 2024 – November 30, 2024
Developed predictive models to forecast future corporate cash flows, enabling proactive financial risk mitigation and strategic cash management. Applied advanced statistical analysis (ANOVA in Excel) to historical order-book data to discover demand response curves across price points, optimizing pricing strategies for maximum revenue. Designed clear dashboards, charts, and financial performance reports to translate complex metrics into data-driven operational strategies for senior stakeholders.
CrimeCast: Predictive Category Forecasting
July 1, 2024 – September 30, 2024
Conducted detailed EDA and feature engineering using Python and scikit-learn. Fine-tuned Gradient Boosting Classifiers to achieve a 92.74% classification accuracy score.
Cultural Fit Analysis
The candidate's experience spans data engineering, AI/ML, and data analytics, showing a broad interest in data-driven fields. Their work on optimizing e-commerce data flows and financial analytics projects aligns well with roles requiring business impact. The academic background in Political Science combined with a Diploma in Data Science suggests a diverse perspective and a self-driven learning attitude, which can be a positive cultural fit for dynamic environments. The projects and roles indicate a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving skills through specific examples of resolving data integrity issues and optimizing pipeline performance. Their experience in designing dashboards and reports for senior stakeholders suggests good communication and an understanding of translating technical work into business value. The project diversity and experience with different tools indicate adaptability and a proactive approach to learning.