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LokeshReddy-18/README.md

MasterHead

Hi 👋, I'm LOKESH REDDY

Data Engineer with over 2 years of experience in designing and optimizing data pipelines, focusing on big data processing and efficient workflow automation. Skilled in leveraging Python and PySpark for large-scale data processing, advanced SQL for querying and optimization, and data modeling for building scalable solutions. Proven ability to automate workflows, ensure data quality, and deliver high-performance data solutions that support business insights and decision-making.

Coding

  • 🔭 I’m currently working on Developing scalable data pipelines, optimizing big data workflows, and building real-time data processing systems
  • 🌱 I’m currently learning Advanced data warehousing concepts, optimizing distributed systems, and integrating machine learning with data pipelines
  • 👯 I’m looking to collaborate on Big Data Engineering, Data Warehousing, Data Infrastructure and Distributed Data Processing
  • 💬 Ask me about Python, PySpark, SQL, and Data Pipeline Automation
  • 📫 How to reach me lokeshreddy.lingala18@gmail.com
  • ⚡ Fun fact I’m passionate about building efficient, scalable data solutions that drive business insights

Connect with me:

lokeshreddy_18 lokeshreddy18 lokesh reddy lokesh_reddy_18 lokesh reddy#5393

Languages and Tools:

Python, Pyspark, SQL, HiveQL, Java, HTML, CSS, R, C Programming, Redshift, Snowflake, Iceberg, BigQuery, PostgreSQL, MySQL, DynamoDB, MongoDB, AWS Services: S3, Glue, Lambda, EC2, Athena, RDS, EMR, Kinesis, DMS, Pandas, Trino, Power BI, Kafka, Spark, Airflow, Flink, Git, dbt, Docker, VS Code

Pinned Loading

  1. Real-Time-Health-Data-Pipeline-AWS-Kinesis-Snowflake-Power-BI Real-Time-Health-Data-Pipeline-AWS-Kinesis-Snowflake-Power-BI Public

    Python

  2. Brain-Tumor-Detection-Using-CNN-VGG16 Brain-Tumor-Detection-Using-CNN-VGG16 Public

    Developed a machine learning solution utilizing VGG-16 architecture for precise identification and localization of brain tumors in MRI images.

    Jupyter Notebook 1

  3. Exploratory-Data-Analysis-Netflix-Movies-and-TV-Shows Exploratory-Data-Analysis-Netflix-Movies-and-TV-Shows Public

    The dataset for Netflix Movies and TV Shows was examined in this study through exploratory data analysis.

    Jupyter Notebook

  4. Exploratory-Data-Analysis-Zomato-Bangalore-Restaurants Exploratory-Data-Analysis-Zomato-Bangalore-Restaurants Public

    This is an exploratory data analysis project on the Bangalore Zomato dataset. The goal of this project is to analyze the data and gain insights into the restaurant industry in Bangalore.

    Jupyter Notebook

  5. Real-time-Voting-Data-Pipeline-and-Dashboard Real-time-Voting-Data-Pipeline-and-Dashboard Public

    This project sets up a comprehensive real-time voting data pipeline using Apache Kafka and Apache Spark, and provides a dynamic dashboard for monitoring and analyzing election results.

    Python

  6. Stock-Market-AWS-Kafka-Project Stock-Market-AWS-Kafka-Project Public

    This project involves creating a real-time stock market data pipeline using Kafka and AWS services.

    Jupyter Notebook