Shaheer Khan
Analytics Engineer @GALE
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WORK HISTORY
Analytics Engineer @GALE
Toronto, ON, CA
Consulting clients on effective data collection, measurement, and reporting approaches. Providing solutions ranging from data warehousing solutions, improved data quality, web & app analytics, crm analytics, and other custom analytics and data engineering solutions- Led the design and implementation of modern data infrastructure in GCP that reduced manual reporting headcount from 30 to 3, achieving a 10x productivity boost- Automated reporting workflows, enabling teams to access data in seconds and reducing manual tasks by 90%- Built scalable ingestion pipelines across 19 platforms and 7 media channels, streamlining reporting- Increased data accuracy by over 40% and launched proactive QA pipelines to eliminate recurring errors- Created an advanced branch-level attribution solution in BigQuery, saving 12+ hours of manual data mapping work weekly for cross-functional teams- Refactored dbt code and implemented dbt best practices, onboarded new team members with optimized training, and shared analytics engineering knowledge via articles and video tutorials.Core stack: dbt, Airflow, Python, SQL, BigQuery, Snowflake, AWS, GCP, Tableau, Docker, Google SheetsCore Skills- Analytics engineering- Reporting- Measurement- AutomationHighlights: Analytics engineering, data pipelines, dbt, Airflow, Python, BigQuery, Snowflake, AWS, GCP, batch & streaming ETL, business intelligence, dashboarding, automation, data warehousing, process improvement, operational analytics, Increased stakeholder value
EDUCATION
The University of British Columbia
Bachelor's degree, Mining Engineering
The International School (First IB World School in Pakistan)
High School Diploma
Udacity
Data Analyst Nanodegree, Data Analyst
Udacity
Data Visualization Nanodegree, Data Analytics
Udacity
Programming for Data Science with Python, Data Analytics
Udacity
AI Programming with Python
WeCloudData
Diploma, Applied Data Engineering and Architect
ABOUT SHAHEER KHAN
I\'m an Analytics Engineer passionate about building data-driven cultures and making analytics infrastructure seamless for everyone. Over the past 5+ years, I\'ve partnered with businesses to translate complex problems into actionable, automated data solutions—driving business growth and operational efficiency.Recent Wins & Big Impact- Reduced reporting headcount from 30 to 3 through modern data infrastructure, leading to a 10x boost in team efficiency and 90% fewer manual tasks- Automated reporting workflows to deliver live data in seconds, improved data accuracy by 40%+, and established QA pipelines to catch errors before they reach decision-makers- Deployed scalable ingestion pipelines across 19 platforms and 7 media channels, consistently delivering reports and analysis ahead of schedule- Created a branch-level attribution pipeline in BigQuery that saves 10 hours/week of manual work and enables proactive business decisions- Invested heavily in dbt and modern data stack best practices, refactoring code, onboarding teammates, and sharing knowledge through training, articles, and videos.My toolkit: dbt, SQL, Python, Airflow, Snowflake, BigQuery, AWS, GCP, Tableau, Looker, Docker, Git—and always exploring what’s next.Style & Values- I believe iteration, collaboration, and clear storytelling are as crucial as code quality- My curiosity keeps me at the leading edge of analytics engineering—spending 16+ hours a week learning, researching, and teaching data best practices- I treat every problem as an opportunity to build scalable solutions that simplify work for teams and drive real business outcomes.If you’re working at the intersection of analytics, automation, and data products, let’s connect. I’m always excited to partner on projects that make data more powerful and more impactful.Portfolio: https://shaheerkhanalytics.com/Github: https://github.com/ShaheerKhan200Youtube: https://bit.ly/shaheerupwork
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