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Kavoondev/README.md

Hi there, I'm Data Engineer Lex! 👋

I'm a passionate Data Engineer specializing in Databricks, Azure, and SQL. With a focus on building efficient data pipelines, optimizing data workflows, and leveraging cloud technologies, I create scalable solutions for real-world data challenges. Explore my projects to see how I transform raw data into actionable insights!

Technologies I Work With

Azure Databricks Spark Azure Data Factory SQL Power BI Apache Airflow dbt PostgreSQL MySQL AWS OCI Git Bash

My Skills

  • Data Engineering: Designing and maintaining robust data pipelines, ETL/ELT processes, and data warehousing solutions.
  • Cloud Platforms: Proficient in Azure services, including Databricks, Oracle Cloud Infrastructure (OCI) for scalable data solutions..
  • Spark & Databricks: Building high-performance data processing pipelines using Apache Spark and Databricks.
  • SQL & dbt: Advanced skills in writing optimized SQL queries and using dbt for data transformation.
  • Automation: Streamlining data workflows with Python, PySpark, and Bash scripting.

Featured Projects

1. Azure Data Pipeline for Retail Analytics

  • Description: Developed an end-to-end data pipeline to process retail sales data, enabling real-time analytics for business decision-making.
  • Technologies Used: Databricks, Azure Data Factory, Azure SQL Database, Power BI.
  • Key Achievements: Reduced data processing time by 40% and enabled daily reporting dashboards.
  • GitHub Repo: [Link to repo]

2. Databricks ETL for IoT Sensor Data

  • Description: Built an ETL pipeline to process IoT sensor data, transforming raw data into actionable insights for predictive maintenance.
  • Technologies Used: Databricks, Python (PySpark), SQL.
  • Key Achievements: Improved data quality by 25% and supported machine learning model integration.
  • GitHub Repo: [Link to repo]

3. SQL Optimization for E-commerce Database

  • Description: Optimized SQL queries for a high-traffic e-commerce database, enhancing performance and user experience.
  • Technologies Used: SQL Server, Azure SQL Database.
  • Key Achievements: Reduced query execution time by 30%, improving application responsiveness.
  • GitHub Repo: [Link to repo]

Certifications

GitHub Stats

Top Langs

Current Focus

  • Mastering advanced data engineering techniques with Databricks and Azure.
  • Building innovative projects to showcase expertise in SQL and data pipelines.
  • Exploring machine learning integration in data workflows for enhanced analytics.

Blogs

Let's Connect!

Fun Fact

I love optimizing SQL queries and automating data workflows with Python and dbt to make data engineering seamless!

Last Updated

  • Date: July 16, 2025

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  1. Certificates Certificates Public

    Official certifications

  2. Apache-Airflow-Certification Apache-Airflow-Certification Public

    1

  3. Data-Engineering-Portfolio Data-Engineering-Portfolio Public

    Python 1