Professional Azure Data Engineer with 3+ years of experience and hands-on developing highly complex ETL pipelines.
- Experienced in implementing scalable end-to-end optimized workflows on Azure Data Factory / Databricks to extract, process, and store data from diverse sources, which resulted in an average 40% reduction in data processing time for my clients.
- Experienced in migration of data from legacy systems (On-premise) and APIs to Azure Data Lake, performing complex transformations on data using DataBricks (Python and PySpark), moving the processed data to SQL Server / PostgreSQL / Data or Delta Lake, and writing SQL Stored Procedures / Functions that can transform the data and perform some calculations on it based on some business logic.
- I am also skilled in developing and maintaining DeltaLake architectures using Databricks and leveraging DataLakes to store the underlying data and enforce security standards.
- Scheduling workloads using Azure Data Factory triggers or Databricks workflows.
Major Expertise: SQL, Python, PySpark, Databricks, Azure, APIs, Data Transformation, Analytics.
Portfolio: https://arlsnahafeez967.github.io/Arslanhafeez2.github.io/