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Hi! I'm Kisalaya

Data Engineer at Sapper.AI Zyient , Ex- Data Engineer at Walmart Walmart

About Me :


I am working as a Data Engineer. I develop many data engineering projects using the below tools and frameworks. I always start working on the projects and jobs with a can-do approach. I always learn the best practices to increase efficiency and apply them while handling the tasks. I am a strong believer of sustainability and we, as data engineers, should complete the tasks as sustainable as possible. I also believe that theoretical part of the data is quite important. That's why I always learn and keep myself up-to-date about the principles of distributed computing, big data applications, how to handle the streaming data, scheduling/orchestrating the pipelines, working principles of cloud environments and many other topics. While doing those, I also develop myself in coding especially at Python and SQL. I create many complicated Python scripts as well as many SQL queries. You can find lots of data engineering projects here, welcome to my GitHub :)

Connect with me:

Tech Stack:

python sql aws metabase spark snowflake kafka airflow docker postgresql mysql hadoop dbt cassandra elasticsearch looker metabase mongodb terraform flink jenkins clickhouse kubernetes

Kisalaya Kishore's Projects

data-streaming-project icon data-streaming-project

used Airflow, Postgres, Kafka, Spark, and Cassandra, and GitHub Actions to establish an end-to-end data pipeline

deepfacex icon deepfacex

DeepFaceLab is the leading software for creating deepfakes.

dpq icon dpq

dpq is an open-source python library that makes prompt-based data transformations and feature engineering easy

drumfun icon drumfun

Javascript application with sound implementation

e2e-data-engineering icon e2e-data-engineering

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.

no-spark-pipeline icon no-spark-pipeline

This project implements a real-time data pipeline using Apache Kafka, Python's psutil library for metric collection, and SQL Server for data storage. The pipeline collects metrics data from the local computer, processes it through Kafka brokers, and loads it into a SQL Server database. Additionally, a real-time dashboard is created using Power BI.

numpy icon numpy

The fundamental package for scientific computing with Python.

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