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kingshukmondal/README.md

Hi 👋, I'm Kingshuk Mondal

Certified Data Engineer Android Developer

Azure-certified Data Engineer with hands-on experience in Azure Synapse, ADLS Gen 2, Java, Python, and Scala. Passionate about developing data solutions and Android apps, with a focus on efficiency and business impact.

🔧 Technical Skills

  • Programming Languages: Java, Python, Scala
  • Cloud Platforms: Azure (Synapse, ADLS Gen 2), Spark
  • Data Engineering: Azure Data Factory, Databricks, ETL using Synapse Notebooks & Power Query
  • Databases: MySQL, Firebase, ADLS Gen 2
  • Version Control: Git
  • Development Tools: Android Studio, SSMS, Power BI

🏢 Work Experience

Data Engineer (Azure)

Tata Consultancy Services | Feb 2024 – Present

  • Manage ETL processes within Azure Synapse using Synapse Notebooks.
  • Utilize ADLS Gen 2 for secure, scalable data storage.
  • Write Scala code to process and transform data.
  • Contributed to a project that achieved a 98.4% customer satisfaction rate.

Android Developer Intern

RICOSYS | July 2023 – Nov 2023

  • Developed Android applications using Java, SQL Server, and Google Maps API.
  • Focused on user interface design and advanced feature integration.

Android Developer Intern

IGMI Lead Consultancy | June 2022 – Aug 2022

  • Delivered four fully functional Android applications.
  • Used Java, Kotlin, SQL Server, and REST APIs for customization and integration.

📚 Education

B.Tech in Computer Science and Engineering
Dr. B. C. Roy Engineering College, MAKAUT University, India
CGPA: 9.02 (2023)

🏆 Certifications

  • Microsoft Certified: Azure Fundamentals (AZ-900)
  • Microsoft Certified: Azure Data Fundamentals (DP-900)
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Microsoft Certified: Power BI Data Analyst Associate (PL-300)

🚀 Projects

Smart Check

A mobile application providing transparent information on medical resources and prices. Integrated Google Sheets, Firebase, and Google Authentication for robust data management.
Tech Stack: Java, REST API, Firebase

Sentiment Analysis Using Python

A sentiment analysis tool leveraging Python and NLTK to classify and interpret text data for actionable insights.
Tech Stack: Python, NLTK, Microsoft Excel

📚 Inspirations

📄 Latest Resume

Download My Resume

🌱 Currently Learning

  • Azure Data Engineering (Synapse, Data Factory, Databricks)
  • Scala for data transformation
  • Advanced SQL for efficient querying

🤝 Connect with Me

🛠️ Languages and Tools

Technologies:

📊 GitHub Stats

GitHub Trophy

Top Languages

Skills

Python Skill Java Skill Kotlin Skill Firebase Skill

Pinned Loading

  1. WhatsAppClone WhatsAppClone Public

    Java 1

  2. DATA_TRUCTURE DATA_TRUCTURE Public

    Java

  3. stone_paper_scissor stone_paper_scissor Public

    Java

  4. LAApp LAApp Public

    Java 1 1

  5. sentiment_analysis sentiment_analysis Public