Renato Otescu
Machine Learning Engineer at ING Hubs Romania
Romania
Summary
👤
Senior🎓
Top SchoolRenato Otescu is a data-driven Python software engineer with 8 years of professional experience and 6+ years focused on designing and maintaining robust ETL pipelines, data analysis workflows, and automation frameworks for fast-moving startups. He turns noisy streaming and batch event data into clean metrics and product insights using Pandas, MongoDB, LLMs, Docker, Airflow and cloud deployments on AWS/EKS. Renato pairs hands-on engineering—building FastAPI services, OCR/NLP utilities and multi-model RAG/LLM comparison tooling—with a PMO background that sharpens his instinct for business-relevant metrics, stakeholder reporting, and reproducible processes. He emphasizes traceability and well-documented code, and has practical experience optimizing high-cardinality schemas for fast querying. Based in Romania, he excels at translating complex workflow requirements into maintainable systems that free engineering time for higher-value analysis. A less obvious strength is his ability to blend project-management rigor with data engineering craft, reducing reporting cycle time while improving analytical reliability.
8 years of coding experience
10 years of employment as a software developer
Academia de Studii Economice Bucuresti
English, Italian, French, Romanian
Github Skills (4)
etl7
data-pipeline6
airflow5
data-engineering1
Programming languages (1)
Github contributions (5)
renatootescu/ETL-pipeline
Apr 2021 - Apr 2021
Educational project on how to build an ETL (Extract, Transform, Load) data pipeline, orchestrated with Airflow.
Contributions:35 commits, 33 pushes, 1 branch in 20 days
airflowdata-pipelineetl
renatootescu/My-First-Project--A-budget-app
Jun 2018 - Jul 2018
Contributions:31 commits, 27 pushes, 1 branch in 1 month
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