As a systems engineer with specialization in data analytics and big data, I have accumulated 5 years of experience in various industries, including tourism, banking, logistics, retail, startups and Proptech. Throughout my career, I have maintained a constant focus on the data domain. In my current role as Analytics engineer at LaHaus, my main responsibility is to turn business challenges into technical solutions, thus creating scalable solutions that meet the needs of stakeholders. To achieve this, I use a variety of technologies and tools, including Python, Streamlit, Snowflake, DBT, AI, AirByte, Airflow and GitHub. My focus is on building robust technical solutions that address business needs while always maintaining a high level of scalability and efficiency. My diverse experience across multiple industries has provided me with a unique perspective that allows me to address challenges in innovative and effective ways.