Muhammad Mudassir Raza Email & Phone Number

Karachi, Pk

Karachi , Pakistan

● Developed an ETL pipeline in which i extract data through API from wincher and dumb into Big Query and then through SQL do data modeling and connect to looker studio reports and automate pipeline using cloud function.● Developed an ETL pipeline utilizing Python requests for web scraping to extract data from a list of websites hosted on Google Cloud Storage.● Integrated authentication with Google Cloud Platform (GCP) services for seamless data extraction and transformation.● Orchestrated the entire process within a Cloud Function environment, automating the extraction and uploading of data to Bigquery in JSON format.● Extract Data from Google Analytics and Dump Data to Bigquery and perform analysis using SQL queries in Bigquery ● Making staging models at DBT of data in BigQuery . Through this data move to data mart timely and fastly by CICD pipeline.

Karāchi, Sindh, Pakistan

● Developed a real-time room occupancy detection system using FastAPI, Kafka, Pyspark, PostgreSQL, and Random Forest, achieving a 20% accuracy improvement.● Automated the entire microservices architecture with Docker, integrating Flask for real-time predictions and end-to-end system development.● Engineered a real-time crypto data analytics pipeline using Python, Beautiful Soup, Kafka, and AWS S3 for seamless data extraction and integration.● Improved data processing efficiency by 30% with Snowflake and Snowpipe, enabling faster insights and decision-making.● Led backend development of a Learning Management System (LMS) using Django, focusing on data modeling, API implementation, and advanced user authentication.● Reduced post-release issues by 25% through comprehensive testing, debugging, and active participation in Agile development.

Karāchi, Sindh, Pakistan

● Managed an ETL pipeline with Apache Airflow, Python, requests, Beautiful Soup and MySQL, performing data extraction, transformations, and exploratory data analysis (EDA) with Pandas.● Improved data accuracy by 20% and enabled real-time dashboard updates in Google Sheets for stakeholders.● Developed and deployed a Streamlit dashboard visualizing financial consumer complaints across states, extracting data from Google Sheets.● Increased stakeholder engagement by 30% through intuitive state-wise insights and actionable items.● Led a data migration project from OLTP to OLAP using MySQL procedures, establishing a star schema for dimensions and facts.● Implemented and validated Pyspark and SparkSQL SCD2 for dynamic data updates, ensuring migration accuracy through comprehensive testing.● Developed and deployed a Python Flask API for user data submission, integrated with MySQL and containerized with Docker.● Improved user experience by 25% through streamlined data submission and efficient containerized deployment.