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Lucas LeeLL
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Lucas Lee

@lucaslee2

I build multi-cloud data pipelines, lakehouses, and real-time analytics platforms.

Canada
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At Deloitte, I build hybrid Azure, AWS, and GCP data platforms that move batch and streaming data into governed lakehouse environments. I use Azure Data Factory, Databricks, PySpark, Snowflake, Informatica IDMC, Airflow, and Microsoft Fabric to deliver real-time analytics, automated data quality checks, and scalable ETL/ELT workflows.

Previously at Ford and Capgemini, I migrated legacy workloads, designed dimensional data models, optimized Spark and SQL processing, and built CI/CD and infrastructure-as-code deployments. I've reduced processing times by 70%, lowered cloud infrastructure costs by up to 40%, and mentor engineers on reliable, secure data engineering practices.

Experience

Work history, roles, and key accomplishments

CA

Data Warehouse Developer

Sep 2018 - Jun 2021 (2 years 9 months)

Developed complex stored procedures, triggers, and user-defined functions in SQL Server. Designed dimensional data models and implemented ETL processes using SSIS and Informatica.

Education

Degrees, certifications, and relevant coursework

Jawaharlal Nehru Technological University Hyderabad logoJH

Jawaharlal Nehru Technological University Hyderabad

Bachelor of Science, Computer Science

Bachelor's degree in Computer Science from JNTUH, India, completed in May 2018.

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