Iqra Anwar

I’m a highly motivated data professional with experience building scalable data pipelines using Python, SQL, Databricks, and Snowflake. I also bring a strong foundation in data analysis and applied machine learning.

At Royal Cyber Inc, I migrated on-prem SQL Server databases to Snowflake, improving scalability (~70%) and performance (~60%). I automated pipelines with Azure Functions, Data Factory, and Snowpipe, reducing latency (~80%) and improving reliability (99.99% availability).

Earlier as a Data Engineer Intern, I implemented a Medallion Architecture using PySpark and Databricks to process batch and streaming data from MongoDB, PostgreSQL, and web sources. I also documented and presented my work through a recorded technical walkthrough and an official technical webinar.

I’ve complemented my engineering with AI-focused content work at Omdena Technical Content Writer, conducting Computer Vision research on real-time hand tracking using MediaPipe and publishing AI/ML articles. I’m now seeking graduate training in data science and AI to deepen my impact.