• 🌱 I’m currently a part of AMAZON !

• 👯 I’m looking to collaborate on Analysis and deep diving on insights

• 🤔 I’m looking for help with Data warehousing

• 💬 Ask me about SQL, SupplyChain, Data Wrangling, Data Cleaning, Python, PySpark, DataBricks, AWS S3

• 📫 How to reach me: LinkedIn

• ⚡ Motto of life is: Experience & experiment Everything

About Me 👾

Data Engineer with hands-on experience building scalable data pipelines and analytics systems, backed by strong domain expertise in supply chain and logistics.

At Amazon, I work with high-volume EU transportation data, designing ETL pipelines, automating workflows, and building reliable data models that drive operational decisions and cost optimization. My work has directly contributed to improving efficiency, reducing manual effort, and enabling real-time visibility into logistics performance.

🔧 What I do:

Build and optimize ETL pipelines using Python, SQL, and PySpark Design data models for scalable analytics and reporting Monitor data pipelines, troubleshoot failures, and ensure data quality Automate reporting systems and operational workflows

📊 Key Work:

Built anomaly detection pipelines identifying 60% of logistics issues, improving detection accuracy by 45% Reduced 20+ hours/month of manual reporting through automated data workflows Developed forecasting pipelines using Prophet & XGBoost for production planning

💡 Focus Areas: Data Engineering • Distributed Data Systems • Supply Chain Intelligence • Applied AI

📌 Tech Stack: Python • SQL • Apache Spark • Databricks • AWS S3 • ETL

🔍 What I bring: 📦 Real-world logistics data experience

📊 KPI dashboards and performance tracking

🔄 Process optimization through data analysis

🧮 Hands-on with Excel, SQL, Power BI & Python (pandas, matplotlib)

🚀 Projects (in progress or completed): 📈 Transportation Cost Optimization Dashboard – Built using Power BI

🗃️ Shipment Delay Analysis – Python + Excel project on delay trends

📊 Amazon Empty Asset Movement Case Study – Operational insights + mock analysis

🧰 SQL Portfolio – Sample queries from mock logistics datasets

📚 Currently learning: DataBricks

AWS S3, AWS GLUE

Real-world business case analysis

🎯 Goal: To land a Data Engineer role where I can turn operational data into strategic insights.