Hello!
I'm Atif Awan
About Me
Get in touch with me
As a Data Engineer, I specialize in building data infrastructure that drives analytics and business decision-making. With hands-on experience in Python, SQL, Airflow, and Databricks, I create robust ETL pipelines and ML workflows that scale with organizational needs.
Vision
To engineer data ecosystems that power intelligent insights and business transformation through automation and modern cloud tools.
Mission
To deliver efficient, secure, and scalable data solutions that enable organizations to extract maximum value from their data.
My Skills
ETL & Data Pipeline Development
Building scalable ETL workflows using Apache Airflow, dbt, Spark, and Databricks for fast, reliable data processing.
Data Warehousing & SQL Engineering
Expertise in SQL, Redshift, BigQuery, Snowflake, and PostgreSQL for designing schema models and optimizing queries.
Machine Learning & Automation
Automating ML deployment with MLflow, CI/CD tools, and Terraform; enabling efficient model delivery in cloud environments.
BI & Dashboard Development
Designing insightful dashboards in Power BI and Tableau using DAX and row-level security to drive business decisions.
DevOps for Data
Using Docker, Jenkins, GitHub Actions, and Terraform to automate infrastructure provisioning and monitor data pipelines.
Cloud & Data Infrastructure
Working with AWS, Azure, and GCP to build, scale, and secure data workflows using Glue, Synapse, Lambda, and BigQuery.
Meridian Credit Union
Software Engineer Intern (Data Engineering Focus)
July 2019 – July 2020
Entrycloud
Data Analyst
June 2018 – December 2024
Brainzaa
Data Scientist
January 2020 – Present
My Experiences
Let's Work Together
Recent Projects
Image Classification
Remote
June 2022 - August 2022
- Built a convolutional neural network (CNN) for image classification tasks.
- Trained the model on a large dataset and optimized it for accuracy.
Housing Price Prediction
Hybrid
post-2020
Built regression models using NumPy and Pandas to predict housing prices based on features like lot size, cooling, and bedrooms. Cleaned 10K+ rows, compared RMSE scores of tree-based vs. linear models, and visualized trends using Matplotlib.
Motor Match
Hybrid
post-2020
Developed a React Native mobile application with features like image upload, swipe compare, login control, and real-time form updates using Redux. Delivered store-ready builds and resolved 20+ permission and routing issues across 10+ screens.