Résumé
Download PDF →Experience
Data Engineer
2022 — PresentCompany Name
- Designed and implemented scalable ETL pipelines processing millions of records daily
- Built data warehouse architecture using modern lakehouse patterns
- Deployed ML models to production with monitoring and automated retraining
AI Engineer
2020 — 2022Previous Company
- Developed NLP models for text classification and entity extraction
- Created end-to-end ML pipelines from data collection to deployment
- Collaborated with cross-functional teams to integrate AI solutions
Education
Bachelor's in Computer Science
2016 — 2020University Name
Skills
Data Engineering
Python, SQL, Apache Spark, Apache Airflow, dbt, PostgreSQL, BigQuery, Snowflake, Delta Lake
AI / ML
PyTorch, TensorFlow, scikit-learn, Hugging Face, MLflow, LangChain
Infrastructure
Docker, Kubernetes, AWS, GCP, Azure, Terraform, GitHub Actions
Development
FastAPI, Flask, React, Next.js, REST APIs
Certifications
- AWS Certified Data Analytics2023
- Google Cloud Professional Data Engineer2022