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Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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@DataExpert-io

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selengetu/README.md

👋 Well Hello There! ✨

I’m Selenge Tulga, a Data Engineer with 6+ years of experience in software and data engineering. I specialize in building scalable data pipelines, optimizing data systems, and enabling actionable insights through cutting-edge technologies. I am actively seeking new opportunities.
LinkedIn Email

🛠️ Skills & Technologies

Languages : Python, SQL, R, Java, PHP

Data Engineering

  • Processing: Apache Spark, Apache Kafka, ETL/ELT Processes, AWS Glue, Apache Airflow , Iceberg, Snowflake, Trino
  • Databases: PostgreSQL, MySQL, MongoDB, Redshift, DynamoDB, Oracle
  • Cloud Platforms: AWS, GCP, Azure

Data Visualization & Analytics: Tableau, Power BI, Amazon QuickSight

🎓 Certifications

  • AWS Certified Data Engineer – Associate
  • AWS Certified Machine Learning Engineer – Associate
  • AWS Certified Machine Learning – Specialty
  • Databricks Certified Data Engineer – Associate
  • Databricks Certified Data Engineer – Professional

🧩 More About Me

  • 🎓 I hold a BSc in Computer Science from MUST and MS in Data Science at the University of Rochester
  • 🌱 I’m currently enhancing my skills through Zach Wilson's 12-week Data Engineering Bootcamp.
  • 💼 I’m actively seeking Data Engineer roles where I can solve data challenges and contribute to impactful projects.
  • 🏆 I am passionate about building scalable data infrastructures and leveraging machine learning pipelines for actionable insights.

📫 Let’s Connect

Feel free to reach out via LinkedIn or email me at [email protected]. I’d love to discuss data engineering projects, collaborations, or opportunities! 🚀

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  1. End-to-end-Sentiment-Data-Project End-to-end-Sentiment-Data-Project Public

    Forked from lpalum/dscc202-402-spring2024

    A real-time data streaming and sentiment analysis pipeline using Apache Spark on Databricks, structured into bronze, silver, and gold stages. It features MLflow for model tracking and demonstrates …

    Jupyter Notebook

  2. Motion_Lab_Data_Integration Motion_Lab_Data_Integration Public

    Developed a robust database and analytics platform using Python and SQL to manage and analyze complex biomechanical data, including EEG, EMG, and kinematic measurements.

    Jupyter Notebook

  3. EDA-Open-Asteroid-Dataset EDA-Open-Asteroid-Dataset Public

    Forked from Shakleen/EDA-Open-Asteroid-Dataset

    EDA of the open asteroid dataset utilizes R and statistical methods

  4. TwoWars TwoWars Public

    Employing the Reddit Praw API, extracted comments, formulated prompts for stance analysis, utilized Llama2 for both training and prediction purposes.

    Jupyter Notebook