Data Engineer building scalable data solutions in the cloud.
I am a highly skilled data engineer with experience in designing, implementing, and maintaining data pipelines and ETL workflows. My expertise lies in building scalable, reliable, and efficient data infrastructure that enables businesses to make informed decisions based on real-time insights.
I have a strong background in working with a variety of data technologies, including Hadoop, Spark, SQL Server, aws glue, Redshift, azure data factory, databricks. I am proficient in SQL and have experience with both relational and NoSQL databases. I also have experience with cloud-based data storage solutions such as Amazon S3, and Microsoft Azure Storage.
In addition, I am proficient in using tools such as Apache Spark, Apache Oozie to create efficient data processing workflows. I have experience with both batch and real-time data processing and have designed data pipelines for a variety of use cases, including analytics and data warehousing.
I am a detail-oriented individual who believes in delivering high-quality work within the given timelines. I am passionate about learning new technologies and keeping up-to-date with the latest trends in the data engineering industry. I am a strong communicator and work collaboratively with cross-functional teams to deliver projects that meet or exceed client expectations.
If you're looking for a skilled data engineer who can design and maintain robust data infrastructure that supports your business goals, then look no further. Let's discuss your project requirements and how I can help you achieve your data-driven goals.