Expertise in AWS: Extensive experience with AWS services, including Lambda, Glue, Step Functions, Cloud Formation, and Cloud Watch.Strong Solution Architecture Knowledge: Ability to design scalable and efficient data solutions on AWS, adhering to best practices for cloud architecture and infrastructure.Proficiency in Python and Databases: Strong programming skills in Python and experience with relational databases (My SQL, Postgre SQL, Redshift) and No SQL databases.Orchestration and Workflow Management: Experience with orchestration tools such as Apache Airflow and AWS Step Functions for automating and managing data workflows.ETL Tools and Big Data Experience: Knowledge of ETL tools and experience working with large volumes of data, with a preference for experience with Kafka.Experience with Iceberg Tables: Familiarity with Iceberg tables for managing large datasets efficiently, ensuring data consistency, and supporting ACID transactions.Production Awareness and Troubleshooting: Proactive approach to production monitoring and troubleshooting, with the ability to anticipate and mitigate potential issues.Technical Leadership and Communication: Capability to evolve into a technical lead role, with excellent communication and teamwork skills for effective collaboration with cross-functional teams.Documentation and Requirements Analysis: Experience in writing solution documents and technical documentation, with the ability to challenge and refine business requirements.Exposure to Azure Databricks: Familiarity with Databricks for data engineering and analytics tasks