Shehroz A.

I am an experienced Google Professional Data Engineer with a strong background in Python, Data Engineering, Database Design and ETL Development of various Data warehouse projects using Google Cloud Platform. My technical skills include: ✅ Expertise in Data Scraping (Scrapy and Selenium), Data Wrangling, Data Normalization and Data Cleaning. ✅ Building and designing multiple Data pipelines for end-to-end ETL processes, including data ingestion and transformation in Google Cloud Platform. ✅ Performing data modeling for implementing an enterprise data warehouse. ✅ Proficiency in Python programming, SQL, GCP stack for Data Processing, and Apache Airflow for Data Orchestration. ✅ Designing and deploying Data pipelines with airflow and Kubernetes. ✅ Expertise in DWH life cycle Documentation, Logical/Physical Data Modeling and BigQuery Optimization. I can provide assistance in various services dealing with bounded/unbounded data. The following are some of the services I can offer: 💻 API Integration: Integrating any type of API into Data Warehouse for further data processing. 💻 Real-time Data Pipelines: Building real-time data processing using Google Cloud Pub/Sub, Cloud DataFlow and BigQuery. 💻 Batch Data Pipelines: Building batch data pipelines using Data Prep, Cloud Data Fusion, Cloud Storage, Cloud DataFlow, Cloud DataProc, Python Compute Engine, BigQuery, and Apache Airflow for Data Orchestration. 💻 Python Automation: Transform any data-related task into an automated process using Python.