Loving Spence
About me: Senior Data Engineer | 20+ Years IT Foundation | Modern Data Stack Expert I bridge the gap between legacy architectural stability and the agility of the Modern Data Stack. With a career spanning from early industrial systems to cloud-native pipelines, I bring a level of "Architectural Maturity" that allows me to anticipate data bottlenecks before they happen. Core Expertise: Modern Orchestration: Building resilient ELT pipelines using dlt (Data Load Tool) and Kestra. Data Architecture: Designing scalable environments with DuckDB, BigQuery, and PostgreSQL. Automation: Leveraging Python and AI (LLMs) to eliminate manual overhead and optimize code performance. Global Communication: Fluent in English, German, and Portuguese, with extensive experience in remote, international collaboration. I don't just move data; I build systems that drive executive decision-making and business value. Tech Stack: Python (Pandas, SQL) | dlt | Kestra | DuckDB | GCP | Docker | Terraform
Total Score: 47
Homework submissions
Homework 6: Batch
Score: 6 = 4 (questions) + 0 (FAQ) + 2 (learning in public)
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Homework 7: Streaming
Score: 5 = 3 (questions) + 0 (FAQ) + 2 (learning in public)
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Project submissions
Project Attempt 1
Project score: 24 Passed
Score: 36 = 24 (project) + 9 (peer review) + 2 (learning in public / project) + 0 (learning in public / peer review) + 1 (FAQ)
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