🚀 About Me
I'm a Data Professional with a passion for turning data into actionable insights and scalable solutions. With expertise in Data Science, Data Engineering, and Data Analytics, I specialize in building robust data pipelines and data warehouse solutions that drive business value.
Skilled in Python (Pandas, Polars, NumPy, Scikit-learn, Matplotlib, Seaborn) and API development (FastAPI), I design and optimize ETL/ELT workflows and APIs for diverse use cases. My toolbox includes cloud platforms like AWS (Athena, S3, Redshift, Glue, Lambda and SageMaker) and Azure (Databricks, MLFlow Data Factory), and databases like Postgres, MongoDB, and SQL.
I’m also experienced in performance/load testing (Locust, Azure Load Testing, JMeter), and have worked with Apache Kafka, Spark, Airflow, and Docker to support scalable, cloud-based data solutions.
Beyond the tech, I’m proactive, detail-oriented, and always on the lookout for new things to learn. I thrive in fast-paced environments, and I’m energized by challenges that blend innovation with impact.
I’m driven by the opportunity to build data-driven solutions that deliver measurable impact and align with strategic business goals.