Daniel De Lima is a Data Engineer based in São Paulo with a decade of experience and over seven years focused on data and BI, specializing in cloud-native pipelines and data modeling. He currently consults at Jobsity, leading GCP-based solutions using Airflow/Composer, DBT and BigQuery, and helped migrate pipelines from AWS to GCP achieving a 5x execution efficiency improvement. Comfortable across the data stack, he has built and optimized ETL and streaming systems with Airflow, Kafka, Spark, Hive and Python, and has practical SRE/DevOps experience automating observability and CI/CD. A former undergraduate researcher in wireless sensor networks, he brings an experimental mindset and curiosity—always trying something new—to solving data reliability and cost-efficiency challenges.
10 years of coding experience
4 years of employment as a software developer
Bachelor's Degree in Engineering, Electrical Engineering - Emphasis on Computing, Bachelor's Degree in Engineering, Electrical Engineering - Emphasis on Computing at Polytechnic School of the University of São Paulo
Contributions:55 commits, 41 pushes, 1 branch in 1 month
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