About Me
I am passionate about data engineering, analytics, and application development. I enjoy transforming raw data into meaningful insights through ETL pipelines, dashboards, and machine learning projects. My career goal is to become a Data Analyst or Data Engineer who can build reliable data solutions for real-world problems.
Skills
Programming & Database
Python, Java, C++, SQL, MySQL, PostgreSQL, MongoDB
Data Engineering
Apache Spark, Docker, ETL Pipeline, Data Warehouse, Star Schema, Galaxy Schema, Medallion Architecture
Cloud & BI Tools
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Power BI, Tableau, Alteryx Designer
Application Development
Flutter, PHP, JavaScript, HTML, CSS, SAP Build Apps
Certifications
AWS Academy Graduate - Cloud Foundations - Training Badge
AWS Academy Graduate - Cloud Developing - Training Badge
AWS Academy Graduate - Cloud Data Pipeline Builder - Training Badge
Alteryx Designer Core Certification
My Projects
KKK System
A web-based organization management system developed using PHP, MySQL, HTML, CSS, and JavaScript.
Course Registration System
A cloud-based application developed using SAP Build Apps.
PPG Industry Project: Recoverable Assets & Inventory Risk Management
A cloud-based data engineering pipeline developed using Azure Data Factory, Databricks, Synapse Analytics, Key Vault, and Power BI.
Daily Activities Recorder App
A web-based application developed using Flutter.
End-to-End Data Pipeline Using Microsoft Azure
Built a cloud-based data engineering pipeline using Azure Data Factory, Databricks, Synapse Analytics, Key Vault, and Power BI.
Simple ETL Pipeline Using Apache Spark
Created an ETL pipeline using Apache Spark, Docker, PostgreSQL, Adminer, and Metabase.
Image Classification Using CNN
Developed a Convolutional Neural Network model for image classification using deep learning techniques.
Data Pipeline Using AI Agent
Created a weather data pipeline using an AI agent, REST API, Nexla, and Snowflake.
AI-Enhanced Data Pipeline Using Apache Spark
Enhanced an ETL pipeline with AI-based data cleaning and translation for multilingual data.
