I am a dedicated Data Engineer with extensive technical expertise in data processing, big data technologies, and cloud solutions. My focus lies in building scalable and efficient data architectures and pipelines, leveraging tools such as Apache Spark, SQL, and Python. With solid experience in cloud platforms like AWS and Azure, I ensure data infrastructures are robust and flexible enough to efficiently handle large volumes of data.

I am proficient in ETL processes, data orchestration, and transformation, and have experience with Terraform for infrastructure automation. Additionally, I bring expertise in MLOps, working with OpenAI and Qdrant on machine learning workflows.

With certifications in Azure Data Engineering, Databricks, and Machine Learning, I continuously strive to enhance business strategies through innovative data solutions.


? Python, Apache Spark, SQL, Golang, Databricks, Snowflake
? Terraform, Airflow
? AWS, Microsoft Azure
? Apache Iceberg, OpenAI, Qdrant

Driven by a deep interest in the transformative power of data, I am seeking opportunities to apply my skills in developing impactful data solutions that foster innovation and efficiency.