Summary
Carlos Lozano is a Data & Software Engineer from Málaga with 11 years' experience building data pipelines, ML models and production software across energy, finance and consulting domains. He combines hands-on Python engineering (Pandas, NumPy, Scikit-Learn, Kedro) with cloud data tooling—Azure Databricks, ADLS Gen2, Airflow and Hive—to deliver ELT/ETL platforms that shifted analytics teams from slow ad-hoc work to faster, scalable reporting. He has held senior and lead engineering roles at Hitachi Energy and now Deep Kernel Labs, and has a track record of optimizing calculation engines and vectorizing code to cut execution times significantly. Comfortable leading teams or collaborating as a contributor, he pairs pragmatic product-driven thinking with strong data hygiene and automation skills. Outside work he streams educational content on Twitch and has volunteered as a dean for the School of AI, reflecting a commitment to public-facing teaching and community building. A former football referee turned wrestler-on-GitHub, he brings calm under pressure and a competitive, hands-on approach to solving complex technical problems.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at Universidad de Málaga
Advanced Level Science and Technology, Advanced Level Science and Technology at Pintor José María Fernández
Spanish, English, Русский, French