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  • 👋 Hello there I’m @shantanukhond!
  • 👨‍💼 I am a Data Architect working in Data and Intelligence stream. I have experience in designing and implementing data pipeline, data warehousing, working with big data technologies, and building data infrastructure. I also have background in machine learning, statistical modelling, and data analysis. I have experience working with a wide range of data types, including structured and unstructured data, and have a solid understanding of the data science pipeline, from data preparation and feature engineering to model building and deployment.
  • 🧑‍💻 I have a strong background in programming languages such as Java, Python and SQL, and have experience working with a variety of data storage and processing technologies, including Talend, ADF, SSIS, Spark and in cloud technologies such as Azure, GCP.
  • 📋 I am certified Azure Associate Data Engineer (DP-203) and Google Certified Professional Data Engineer. Along with these two certifications I have other certifications such as AZ-900, DP-900, AZ-104 (Microsoft Azure Administrator) and Databricks Lakehouse Fundamentals. Also, I have completed “Machine Learning” and “Deep Learning” Specialization from Coursera.
  • 🌱 I am passionate about solving complex data problems and using data to drive business decisions I am constantly learning and staying up to date with the latest data engineering and latest data science technologies and trends.
  • 📫 Please feel free to reach out to me if you have any questions or if you're interested in working on a data engineering or data science project together.
  • 📧 Mail: [email protected]
  • 🌍 www.shantanukhond.me

Shantanu Khond's Projects

databricks-tpc-di icon databricks-tpc-di

Databricks Implementation of the TPC-DI Specification using Traditional Notebooks and/or Delta Live Tables

dynamodb_fdw icon dynamodb_fdw

foreign data wrapper to use Amazon DynamoDB in your postgresql

fresco icon fresco

An Android library for managing images and the memory they use.

garnet icon garnet

Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.

sparkinterviewproblems icon sparkinterviewproblems

Interview Problems for Pyspark and SQL. If you are preparing to be Data engineer or Big Data Engineer then you must solve these problems. These problems are either asked to me in interviews or to a friend. We collected these and now trying to provide problems to be solved.

superset icon superset

Apache Superset is a Data Visualization and Data Exploration Platform

valkey icon valkey

A new project to resume development on the formerly open-source Redis project. We're calling it Valkey, since it's a twist on the key-value datastore.

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