I am a data professional with experience spanning data engineering, analytics, and digital transformation across construction, consulting, energy, and logistics environments.
I build end-to-end data pipelines, reporting solutions, and automated workflows that improve visibility, data quality, and operational decision-making. My work has included Power BI, Grafana, Python-based ETL, Snowflake, dbt, Airflow, Kafka, and AWS services.
I also have experience translating business needs into technical solutions, including requirements gathering, dashboard design, database design, and front-end prototyping. I enjoy working closely with cross-functional teams to identify inefficiencies and deliver practical improvements.
In my recent roles, I have supported digital transformation initiatives, automated manual processes, and created reporting systems that improved KPI compliance and data completeness. I have also contributed to documentation, training, and stakeholder communication to ensure smooth adoption of solutions.
My background includes analytics and machine learning work such as regression modeling, feature engineering, and forecasting, along with hands-on experience in data cleansing, modeling, and visualization. I am comfortable working in both legacy and cloud environments.
I am looking for opportunities where I can continue applying my data engineering and analytics skills to build scalable solutions, improve business processes, and support data-driven decision-making.
