Summary
Mircea Chira is a data-focused software engineer with nine years of experience building modern data platforms, ML pipelines, and backend systems across startups and large enterprises. He has led platform overhauls—designing Databricks/MLflow/dbt/Snowflake architectures that cut stored data by ~90% while improving performance, governance, and deployability. Mircea combines hands-on engineering (ETL, Spark, Airflow/Argo/Prefect, Kubernetes) with cross-functional leadership, shipping pricing and recommendation systems that measurably boosted business metrics. A cloud-native practitioner who prefers open source and self-hosting in his personal projects, he now freelances and is open to growth opportunities that bridge data engineering and applied ML.
9 years of coding experience
8 years of employment as a software developer
Universitatea Babeș-Bolyai din Cluj-Napoca
Romanian, English, German