Pendar Soltani
Data Engineer @Leni
Signup · Get unlimited contacts
WORK HISTORY
Data Engineer @Leni
Toronto, ON, CA
Designed and maintained automated ETL pipelines using Python and SQL, integrating property data for real estate SaaS platforms (Yardi, MRI) into Redshift & Postgres, and orchestrated with Apache Airflow.• Managed ingestion of third-party market data into PostgreSQL, leveraging AWS Lambda functions and S3 storage to automate extraction, transformation, and validation workflows.• Diagnosed and resolved production issues in pipelines and Tableau dashboards by analyzing Airflow logs, SQL scripts, and containerized services running in Docker.
EDUCATION
Mofid High School
High School, Mathematics & Physics
Western University
Master of Science (M.Sc.), Engineering
Sharif University of Technology
Bachelor of Science (B.Sc.), Mechanical Engineering
ABOUT PENDAR SOLTANI
Graduate-level data professional with hands-on experience in statistical modeling, data engineering, and predictive analytics. Proven ability to build, optimize, and monitor data pipelines and models across finance, healthcare, and real estate domains. Strong in Python, SQL, and statistical methodologies for risk assessment and forecasting.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.