Sr. Data Engineer

I am a Data Engineer with over 5.5 years of experience designing and scaling end-to-end data pipelines for high-volume, highly regulated industries, primarily in banking and finance (working with tier-1 clients like BBVA through global consultancies like NTT DATA and NEORIS).

What makes me unique is my focus on production readiness and technical reliability. I don't just write scripts; I build robust, cost-efficient data architectures. My daily core relies on Python, PySpark, advanced SQL, and AWS ecosystems (S3, Redshift, Hive), paired with production orchestration (Airflow, Control-M) and automated CI/CD practices. Working in large-scale financial environments has taught me to prioritize strict data quality, schema integrity, and seamless operational monitoring.

What I am looking for: I am seeking full-time Remote Data Engineer roles with international teams. I want to partner with engineering teams where I can take ownership of ETL/ELT pipelines, optimize distributed processing workloads, and continuously adapt to new data platforms and cloud ecosystems. I bring a strong analytical mindset, solid English communication skills (B2) constantly improving it , and a proven ability to work autonomously across cross-functional, distributed teams.