Do you understand the tech stack? You have experience with Python, SQL, PySpark, and AWS. Is there anything else you'd like to add?

I have a solid foundation in the core components of the data engineering stack. Python is my primary language for scripting, data manipulation, and building ETL pipelines. I use SQL extensively for data extraction, transformation, and reporting across relational databases such as PostgreSQL and MySQL. For large‑scale data processing, I rely on PySpark to write distributed jobs that run on clusters managed by AWS EMR or Databricks. My AWS experience covers S3 for data lake storage, Glue for cataloging and ETL orchestration, Lambda for serverless functions, and Redshift for analytics. Additionally, I’ve worked with Airflow for workflow scheduling and monitoring, and I’m comfortable with version control (Git) and CI/CD pipelines (GitHub Actions). I’m also familiar with containerization using Docker and orchestration with Kubernetes, which helps in deploying scalable data services. If you’re looking for expertise in any of these areas or additional tools like Kafka for streaming or Snowflake for cloud data warehousing, I’d be happy to discuss how I can contribute.