With over 3 years of experience in Data Analytics and Engineering, I specialize in developing robust ETL pipelines, data modeling, and real-time data processing. I have a strong foundation in handling and transforming large datasets using tools like AWS, Databricks, Snowflake, and Apache Spark. My expertise includes:- Designing and developing scalable ETL pipelines using AWS services such as S3, Glue, Lambda, and Redshift.- Proficiency in Python, PySpark, and SQL for data manipulation and transformation.- Building and optimizing data models and data warehouses for efficient reporting and analytics.- Deep understanding of data processing and integration, working with various file formats (CSV, JSON, Parquet) and databases (SQL and NoSQL).- Experience in creating conceptual data models and data flow diagrams, and implementing them using tools like Erwin.I am passionate about leveraging data to drive business insights and support decision-making processes. Let's connect if you want to discuss data engineering, cloud solutions, or any interesting data challenges!