Ajay Pathlavath

Data Engineer @ Amazon | SQL, Data Engineering, Python - Actively looking for Full Time

Role: Data Engineer at Amazon
Location: Cleveland, OH, US
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

About Ajay Pathlavath

An experienced Data Engineer with a proven track record of designing, implementing, and…

Experience

Data Engineer
Amazon
Mar 2024 — Present · TX, US
Data Engineer\'s experience with AWS services, particularly focusing on ETL pipelines, data warehousing, and real-time data processing. They have a strong grasp of AWS Glue, Redshift, S3, Kinesis, Lambda, and related technologies. The candidate demonstrates skills in optimizing data pipelines, improving query performance, automating data ingestion, and collaborating with data scientists and analysts. They have experience building data warehouses, implementing data quality measures, and creating dashboards for business insights. Essentially, they are proficient in building and managing data infrastructure on AWS to support data-driven decision making.

Contact information

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Current company

Amazon

Software Development · 10K employees · 2127 7th Ave., Seattle, WA, 98109, US

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

amazon.com

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