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Pralhad789/README.md

Hi, I'm Pralhad !! 👋

About Me

Experienced Data Engineer specializing in building and optimizing data pipelines to turn raw data into actionable insights. Skilled in designing and implementing ETL workflows, data modeling, and leveraging big data technologies like Python, PySpark, SQL, Apache Spark, AWS to process and analyze large-scale datasets. My focus is on creating reliable, scalable solutions that empower teams with clean, structured data to drive business decisions and growth.

What Makes Me Unique:

  • SQL Expert: I write optimized, efficient SQL queries and manage large datasets, ensuring high-performance data retrieval and processing to support complex analytics and business decision-making.

  • ETL Pipeline Architect: I design, build, and optimize robust ETL workflows that seamlessly extract, transform, and load data from diverse sources, ensuring clean, consistent, and reliable datasets for analysis.

  • Big Data Enthusiast: I utilize Apache Spark, AWS, and Hadoop to process and analyze large-scale datasets, ensuring scalability and performance for big data projects, enabling faster insights and business value.

  • Cloud Solutions Architect: I deploy and manage cloud-based data infrastructures on AWS, Azure, and Google Cloud to support efficient data processing, storage, and analytics pipelines, driving cost-effective and scalable solutions.

  • Data Integration Specialist: I integrate data from multiple sources using modern tools and frameworks, ensuring smooth data flow and alignment with business objectives to provide actionable insights.

  • Data Infrastructure Innovator: I focus on building and maintaining high-performance data architectures, ensuring that data pipelines run smoothly, and that data is ready for real-time or batch analytics.

I’m passionate about transforming raw data into actionable insights through scalable, efficient, and reliable data engineering practices. Let’s connect if you’re looking for a Data Engineer who can turn complex data problems into streamlined, business-driven solutions!

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  1. Automated-Social-Media-Data-Analytics-Pipeline-with-Airflow-and-AWS Automated-Social-Media-Data-Analytics-Pipeline-with-Airflow-and-AWS Public

    Implemented an automated social media data analytics pipeline, utilizing Reddit API, Apache Airflow and AWS services, including AWS Glue and AWS Redshift. Elevated the project's impact by automatin…

    Python

  2. Spotify-Data-ETL-Integration-on-AWS-for-Seamless-Analytics Spotify-Data-ETL-Integration-on-AWS-for-Seamless-Analytics Public

    The Spotify Data ETL Pipeline skillfully integrates Spotify API, using AWS Lambda for code deployment and CloudWatch triggers for automation. Extracted data seamlessly stored on AWS S3. Incorporati…

    Jupyter Notebook

  3. SQL-Analytics-for-Elevating-ShopMart-Inventory-Management-and-Quality-Assurance SQL-Analytics-for-Elevating-ShopMart-Inventory-Management-and-Quality-Assurance Public

    Optimized ShopMart's e-commerce sales performance, customer segmentation, inventory management, and quality assurance using advanced SQL techniques such as window functions, CTEs, joins, query opti…

    PLpgSQL

  4. Accelerated-Credit-Card-Revenue-Growth-through-Customer-Demographic-Analytics Accelerated-Credit-Card-Revenue-Growth-through-Customer-Demographic-Analytics Public

    Engineered a Power BI dashboard for Zephyr Financial, transforming over 10,100 credit card transaction records into actionable insights that increased revenue growth by 28.8%, enhanced customer seg…

  5. Profitability-Reporting-and-Regional-Sales-Insights-for-Retail-Company Profitability-Reporting-and-Regional-Sales-Insights-for-Retail-Company Public

    Engineered PowerBI P&L financial dashboard that identified cost inefficiencies, leading to a 10% cost reduction and a 7% increase in profitability for a national retail chain.

  6. Real-time-Stock-Market-Data-Pipeline-with-Apache-Kafka-and-AWS-Integration Real-time-Stock-Market-Data-Pipeline-with-Apache-Kafka-and-AWS-Integration Public

    Implemented a real-time stock market data pipeline with Apache Kafka for seamless data streaming. Developed Python scripts as Kafka producers for data acquisition and Kafka consumers for data trans…

    Jupyter Notebook