Hina J.

I help businesses transform raw, unstructured data into reliable, actionable insights by building scalable, automated, and optimized data solutions. With expertise in Python, SQL, and ETL workflows, I specialize in: ETL/ELT Pipeline Development – Designing and optimizing efficient pipelines using tools such as Airflow, AWS Glue, and Spark. Data Analysis & Reporting – Delivering clean, structured datasets ready for BI dashboards like Power BI or Tableau. Database Management – Writing complex SQL queries, improving performance, and handling large-scale datasets. Data Cleaning & Transformation – Removing duplicates, resolving inconsistencies, and ensuring high-quality datasets. Cloud Data Engineering – Developing modern data solutions on AWS, GCP, or Azure. Why work with me: Strong problem-solving approach focused on accuracy, efficiency, and scalability. Proven experience adapting data workflows across multiple industries. Commitment to delivering results that save time, reduce costs, and support better decision-making. Whether you need a one-time data cleaning task, a complete end-to-end ETL pipeline, or ongoing data engineering support, I can help streamline your data workflows and unlock valuable insights. Let’s connect to discuss how I can contribute to your project.