Hi there, I'm Glad Nayak๐
- ๐ 5+ years of working experience in building scalable data-pipeline for ingesting and analyzing large scale datasets using Big Data framework.
- ๐ฑ I'm on track for learning more about Data Engineering, Systems Design, Cloud Architecture and Machine Learning Pipelines.
- ๐ฏ I am keen to develop products that impact on a large scale. ๐ ๐๐ข ๐๐ช๐ง๐ง๐๐ฃ๐ฉ๐ก๐ฎ ๐ก๐ค๐ค๐ ๐๐ฃ๐ ๐๐ค๐ง ๐๐ช๐ก๐ก-๐๐๐ข๐ ๐๐ค๐ ๐ค๐ฅ๐ฅ๐ค๐ง๐ฉ๐ช๐ฃ๐๐ฉ๐๐๐จ ๐๐ฃ๐ ๐ ๐๐ข ๐๐ฃ๐ฉ๐๐ง๐๐จ๐ฉ๐๐ ๐๐ฃ ๐ฟ๐๐ฉ๐ ๐๐ฃ๐๐๐ฃ๐๐๐ง๐๐ฃ๐ ๐๐ฃ๐ ๐ฟ๐๐ฉ๐ ๐๐๐๐๐ฃ๐๐ ๐ง๐ค๐ก๐๐จ
- โ๏ธ In my free time, I go out to explore new places or stay in to write journals.
- ๐ฌ Feel free to reach out to me for pro bono consulting and volunteering, or just for some interesting discussion.
- ๐ซ How to reach me: by mail, or LinkedIn
- ๐ Pronouns: He/Him
๐ Tech Stack
- โบ Programming Languages: Python, PySpark, SQL, shell-scripting.
- โบ Databases: MySQL, PostgreSQL, MongoDB (NoSQL), Cassandra, Amazon Redshift.
- โบ Machine Learning: Classification, Regression, Clustering, Neural Networks, Ensemble Learning, Forecasting, Dimension Reduction, Predictive modeling, CNN, GAN.
- โบ Libraries: Asyncio, Pandas, Numpy, Scikit-learn, NLTK, Requests, Matplotlib, Tensorflow, Keras, Beautiful Soup, Selenium.
- โบ Framework/Tools: Apache Spark, Spark Streaming, Hadoop, HBase, Hive, Nifi, Apache Kafka, Apache Airflow, Tableau, Git, GitHub, Bash, MS Excel, IntelliJ, Jupyter Notebooks, Flask, FASTAPI.
- โบ DevOps Tools: Docker, Kubernetes.
- โบ Cloud Technologies: Amazon Web Service (AWS), Google Cloud Platform (GCP).
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