Data Engineer with 6 years of successful experience and a strong track record in designing and implementing data solutions. My expertise lies in data integration, Spark, ETL (Extract, Transform, Load) processes, and analytics. I have a deep understanding of database systems, data modeling, and cloud technologies. If you are looking for a reliable and experienced Data Engineer who can handle complex data challenges and deliver high-quality results, let's discuss how I can contribute to your project. Contact me to get started! Skills : PySpark, Airflow, DBT, Oracle PL/SQL and SQL, DataBricks, Data Warehousing, Analytical Functions, Data Modelling, Exasol In-Memory Analytics Database, Linux, Docker, Github, BitBucket, Jenkins, DevOps CI/CD with Github Actions and Kubernetes and Helm. - Data Integration: I excel in integrating various data sources and systems, ensuring seamless data flow and harmonization. - ETL Development: I have extensive experience in building robust ETL pipelines to transform raw data into valuable insights. - Database Design and Optimisation: I am proficient in database design and can create efficient schemas that support optimal query performance. I have hands-on experience with both SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, and others. - Cloud Technologies: I have a solid understanding of cloud platforms like AWS, Azure, and GCP. I can leverage their services, such as Amazon Redshift, Google BigQuery, or Azure Data Factory, to build scalable and cost-effective data solutions. - Data Warehousing and Analytics: I can design and implement data warehousing solutions that enable advanced analytics and reporting. - Collaboration and Communication: I am an excellent communicator and thrive in cross-functional teams.