•Accomplished Data Engineer with 3+ years of experience focused on executing data engineering tasks and designing efficient data
pipelines.
•Experienced at managing and analysing large datasets using data processing frameworks such as Databricks and Apache Spark.
•Proficient in database management using MySQL, OracleDB, SQL, and PLSQL, assuring data integrity, retrieval, and optimisation.
•Expertise in leveraging AWS cloud technologies to optimise data processing, storage, and migration activities, resulting in efficient and
scalable solutions.
•Extensive knowledge in using AWS Glue, an ETL solution, to automate data extraction, transformation, and loading operations. This
knowledge guarantees that data is seamlessly integrated across a wide range of systems and platforms.
•Utilized Snowflake cloud-native data warehousing capabilities, leveraging AWS infrastructure to design and implement scalable data
storage solutions.